PRESENTING INFORMATION FOR A CURRENT LOCATION OR TIME

- Google

A computing system is described that obtains, based at least in part on information included in previous communication associated with a user of a computing device, an indication of a future location and a future time and further obtains information associated with an event which is associated with the future location and the future time. The computing system obtains a duration of time for the user to travel from a current location of the computing device to the future location, and further obtains, based at least in part on the duration of time, a departure time at which the user is predicted to need to depart from the current location in order to arrive at the future location by an arrival time that is determined based at least in part on the future time. The computing system outputs, for transmission to the computing device, an indication of the departure time.

Skip to: Description  ·  Claims  · Patent History  ·  Patent History
Description

This is a continuation of Application Serial No. PCT/US2013/47180, filed Jun. 21, 2013 which claims the benefit of U.S. Provisional Application No. 61/790,539, filed Mar. 15, 2013, U.S. Provisional Application No. 61/663,049, filed Jun. 22, 2012, and U.S. Provisional Application No. 61/663,813, filed Jun. 25, 2012, the entire contents of each of which are hereby incorporated by reference.

BACKGROUND

A mobile computing device (e.g., a mobile phone, tablet computer, etc.) may function as a personal digital assistant (PDA), a phone, a camera, an e-mail client, an Internet browser, and a global positioning system (GPS) navigation device. The mobile computing device may be used to search for information about an upcoming airline flight, nearby attractions (such as shows, events, and concerts), nearby real estate listings, local movie times, etc. A user may search within this information (e.g., using such a mobile computing device) on the Internet, within e-mail accounts, and within other information repositories stored locally or accessible by the mobile computing device. Finding a particular piece of information within all this data can be daunting and time consuming, however.

SUMMARY

In one example, the disclosure is directed to a method that includes obtaining, by a computing system and based at least in part on information included in at least one previous communication associated with a user of a computing device, an indication of a future location and a future time. The method further includes obtaining, by the computing system, information associated with an event, the event being associated with the future location and the future time, and obtaining, by the computing system, a duration of time for the user of the computing device to travel from a current location of the computing device to the future location. The method further includes obtaining, by the computing system, based at least in part on the duration of time, a departure time at which the user of the computing device is predicted to need to depart from the current location in order to arrive at the future location by an arrival time, the arrival time being determined based at least in part on the future time. The method further includes outputting, by the computing system, for transmission to the computing device, an indication of the departure time.

In another example, the disclosure is directed to a computing system that includes at least one processor, and at least one module operable by the at least one processor to obtain, based at least in part on information included in at least one previous communication associated with a user of a computing device, an indication of a future location and a future time. The at least one module is further operable by the at least one processor to obtain information associated with an event, the event being associated with the future location and the future time, and obtain a duration of time for the user of the computing device to travel from a current location of the computing device to the future location. The at least one module is further operable by the at least one processor to obtain, based at least in part on the duration of time, a departure time at which the user of the computing device is predicted to need to depart from the current location in order to arrive at the future location by an arrival time, the arrival time being determined based at least in part on the future time, and output, for transmission to the computing device, an indication of the departure time.

The details of one or more examples are set forth in the accompanying drawings and the description below. Other features, objects, and advantages of the disclosure will be apparent from the description and drawings, and from the claims.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a conceptual diagram illustrating an example computing system that is configured to present information relevant to a particular time and location of the computing system, in accordance with one or more aspects of the present disclosure.

FIG. 2 is a block diagram illustrating an example computing device configured to present information relevant to a particular time and location of the computing device, in accordance with one or more aspects of the present disclosure.

FIG. 3 is a block diagram illustrating an example computing device that outputs graphical content for display at a remote device, in accordance with one or more techniques of the present disclosure.

FIGS. 4-6 are conceptual diagrams illustrating example graphical user interfaces for presenting information relevant to a particular time and location of the computing device, in accordance with one or more aspects of the present disclosure.

FIG. 7 is a flowchart illustrating an example operation of the computing device, in accordance with one or more aspects of the present disclosure.

DETAILED DESCRIPTION

In general, techniques of this disclosure may enable a computing device to present graphical indications associated with information (also referred herein as “data”) obtained from previously-received communications that include references to one or more future locations, future times, future activities, and/or future events associated with a future location and/or future time. The computing device may customize the graphical indication to a specific activity that occurs at one or more future location and/or future time.

The computing device may present the graphical indications as one or more cards of information within a graphical user interface (GUI). The computing device may present information cards of varying types and categories (e.g., the information may depend on the specific activity that a user may perform at the future location and/or the future time). Some examples of the types of information cards may include flight-related information, attraction-related information (e.g., movie and event information), real estate listing information, financial/stock-related information, package-tracking information, weather information, transportation/transit-related information, and other types of information. Rather than require a user to search for a particular piece of information, the computing device can output predicted information that the user would otherwise search for and include the predicted information within, for example, one or more information cards.

The computing device may analyze previous communications only if the computing device receives permission from the user to analyze the information. For example, in situations discussed below in which the computing device may collect or may make use of personal information about the user (e.g., from previous communications) the user may be provided with an opportunity to control whether programs or features of the computing device can collect user information (e.g., information about a user's e-mail, a user's social network, social actions or activities, profession, a user's preferences, or a user's current location), or to control whether and/or how to the computing device may receive content that may be relevant to the user. In addition, certain data may be treated in one or more ways before it is stored or used by the computing device, so that personally identifiable information is removed. For example, a user's identity may be treated so that no personally identifiable information can be determined about the user, or a user's geographic location may be generalized where location information is obtained (such as to a city, ZIP code, or state level), so that a particular location of a user cannot be determined. Thus, the user may have control over how information is collected about the user and used by the computing device.

FIG. 1 is a conceptual diagram illustrating example computing device 10 that is configured to present useful information for a particular time and location, in accordance with one or more aspects of the present disclosure. In the example of FIG. 1, computing device 10 is a mobile phone. However, in other examples, computing device 10 may be a tablet computer, a personal digital assistant (PDA), a laptop computer, a portable gaming device, a portable media player, an e-book reader, a watch, television platform, or other type of computing device.

As shown in FIG. 1, computing device 10 includes a user interface device (UID) 12. UID 12 of computing device 10 may function as an input device for computing device 10 and as an output device. UID 12 may be implemented using various technologies. For instance, UID 12 may function as an input device using a presence-sensitive input screen, such as a resistive touchscreen, a surface acoustic wave touchscreen, a capacitive touchscreen, a projective capacitance touchscreen, a pressure sensitive screen, an acoustic pulse recognition touchscreen, or another presence-sensitive screen technology. UID 12 may function as an output (e.g., display) device using any one or more display devices, such as a liquid crystal display (LCD), dot matrix display, light emitting diode (LED) display, organic light-emitting diode (OLED) display, e-ink, or similar monochrome or color display capable of outputting visible information to the user of computing device 10.

UID 12 of computing device 10 may include a presence-sensitive screen that may receive tactile input from a user of computing device 10. UID 12 may receive indications of the tactile input by detecting one or more gestures from a user of computing device 10 (e.g., the user touching or pointing to one or more locations of UID 12 with a finger or a stylus pen). The presence-sensitive screen of UID 12 may present output to a user. UID 12 may present the output as a graphical user interface (e.g., user interface 14) which may be associated with functionality provided by computing device 10. For example, UID 12 may present various user interfaces of applications executing at or accessible by computing device 10 (e.g., an electronic message application, an Internet browser application, etc.). A user may interact with a respective user interface of an application to cause computing device 10 to perform operations relating to a function.

Computing device 10 may include user interface (“UI”) module 20, device location module 22, user data analysis module 24, and suggestion module 26. Modules 20, 22, 24, and 26 may perform operations described using software, hardware, firmware, or a mixture of hardware, software, and firmware residing in and/or executing at computing device 10. Computing device 10 may execute modules 20, 22, 24, and 26 with multiple processors. Computing device 10 may execute modules 20, 22, 24, and 26 as a virtual machine executing on underlying hardware. Modules 20, 22, 24, and 26 may execute as a service of an operating system or computing platform. Modules 20, 22, 24, and 26 may execute as one or more executable programs at an application layer of a computing platform.

Computing device 10 may be part of a mobile communications network, as described in U.S. Provisional Application No. 61/663,049, filed Jun. 22, 2012, and U.S. Provisional Application No. 61/663,813, filed Jun. 25, 2012, the entire contents of each of which are hereby incorporated by reference and to which this disclosure claims priority. Computing device 10 may exchange data with a server or cloud computing system over the mobile communications network. The server or cloud computing system may perform some or all of the techniques and operations related to modules 20, 22, 24, and 26 described herein. In other words, some or all of the techniques and operations related to modules 20, 22, 24, and 26 can be implemented locally at computing device 10, for instance, a mobile phone, and some or all of the techniques and operations may by performed remotely via a server connected to the mobile communications network that exchanges data with computing device 10. In other words, while shown in FIG. 2 as being included within computing device 10, modules 20, 22, 24, and 26 may be a part of a remote computing system and may execute as one or more remote computing services, such as one or more services provided by a cloud and/or cluster based computing system.

UI module 20 may cause UID 12 to present user interface 14. User interface 14 includes graphical indications (e.g., elements) displayed at various locations of UID 12. FIG. 1 illustrates information card 16 (“card 16”) as one example graphical indication within user interface 14. As described in more detail below, card 16 includes a portion of information included in previous communications. UI module 20 may receive the portion of information from suggestion module 26 when computing device 10 determines that the current location of computing device 10 and the current time corresponds to the time and the location associated with the information. UI module 20 update users interface 14 with card 16 to include the portion of information and may cause UID 12 to output, for display, card 16 within user interface 14.

Device location module 22 may determine a current location of computing device 10 and a current time. For example, computing device 10 may include a global positioning system (GPS) radio (not shown in FIG. 1) for receiving GPS signals (e.g., from a GPS satellite) having data corresponding to the current time and the current location of computing device 10. Device location module 22 may analyze the GPS signals received by the GPS radio and determine the current location of computing device 10 and the current time. Computing device 10 may include other radios or sensor devices (e.g., cellular radio, Wi-Fi radio, etc.) capable of receiving signal data which device location module 22 can determine the current location of computing device 10 and the current time. In some examples, device location module 22 may determine location data as coordinate (e.g., GPS) location data. In other examples, device location module 22 may determine location data as one or more general or relative locations, such as an address, a place, a country, a city, a type of building (e.g., a library, an airport, etc.). Device location module 22 may output location and time data to other modules of computing device 10 such as suggestion module 26.

Computing device 10 may include user data analysis module 24 (UDA module 24). UDA module 24 may determine, based on previous communications and other data received by computing device 10, such as, electronic mail messages (e-mail), text messages (e.g., SMS), transcribed voicemails, social media posts, Internet search queries, application interactions, webpage history, etc., a time and/or a location associated with at least a portion of information included in the previous communications and other data. For example, UDA module 24 may perform data mining techniques on textual data contained within previously received communications to isolate words and/or phrases that indicate future locations and future times of day that may be of interest to a user of computing device 10. The previous communications may be stored locally at computing device 10 and/or remotely at a server or cloud. UDA module 24 may tag portions of information included in previous communications with location and time tags that indicate the portions of communication information that may be of interest to the user when the current time and/or the current location corresponds to the tagged time and/or tagged location. UDA module 24 may store the time and location tags as pointers to locations where the portions of information in a particular communication are stored. Computing device 10 may later use the location and time tags to determine which portions of information may be relevant to a current location of computing device 10 and/or current time.

UDA module 24 may format the tagged portions of information within the communication data into one or more formats for inclusion in information cards (e.g., card 16). For example, computing device 10 may present different categories of information cards, such as information cards related to electronic tickets (e-tickets), movie show times, public and private events, business or personal meetings, attractions, transportation and/or travel information (e.g., flight information), package tracking, etc. As UDA module 24 tags portions of communication data, UDA module 24 may format the portions of communication data into a format that can later be incorporated into the different fields of information cards.

For example, UDA module 24 may associate one or more fields with each category of information card. A flight information card may include fields that identify a date, a time, an airport, a flight number, a passenger name, etc. of a flight. A movie show time card may include fields of information that indicate when and where a movie is playing at a particular theatre. A package tracking card may include fields of information that indicate a package tracking number, an estimated delivery date and time, etc. Other information cards may include other fields specific to that category of information card (e.g. real estate cards, event cards, attraction cards, other package tracking cards, etc.). UDA module 24 may data mine an e-mail confirmation sent by an airline, an movie ticket sales company, etc. for data to include in one or more of these data fields and store the data as location and time tagged data. UDA module 24 may data mine a package tracking e-mail sent by a shipping company for data to include in one or more of these data fields and store the data as location and time tagged data. UDA module 24 may data mine browsing histories, webpage data, and third party application data of applications executing at computing device 10 to identify portions of the communication data for one or more recognized data fields. UDA module 24 may tag the portions of communication data with a time, a location, an information card category, and one or more data fields associated with the information card category.

Computing device 10 may analyze previous communications and other data only if computing device 10 receives permission from the user to analyze the information. For example, in situations in which computing device 10 may collect, data mine, analyze and/or otherwise make use of personal information about the user the user may be provided with an opportunity to control whether programs or features of computing device 10 can collect user information (e.g., previous communications, information about a user's e-mail, a user's social network, social actions or activities, profession, a user's preferences, or a user's current location), or to control whether and/or how to computing device 10 may receive content that may be relevant to the user. In addition, certain data may be treated in one or more ways before it is stored or used by computing device 10, so that personally identifiable information is removed. For example, a user's identity may be treated so that no personally identifiable information can be determined about the user, or a user's current location may be generalized where location information is obtained (such as to a city, ZIP code, or state level), so that a particular location of a user cannot be determined. Thus, the user may have control over how information is collected about the user and used by computing device 10.

Computing device 10 may include suggestion module 26 that may manage requests from a user to display graphical indications of information that may be of interest to the user at a particular time and/or when the current location of computing device 10 corresponds to a particular place. For example, computing device 10 may receive an indication of an input detected at UID 12. UI module 20 may determine the input is associated with user interface 14. UI module 20 may transmit information corresponding to the input to suggestion module 26. Suggestion module 26 may determine, based on the input information that the input corresponds to a request from a user to invoke user interface 14 and present information cards within graphical user interface 14. Likewise, suggestion module 26 may automatically (e.g., without user intervention) cause UI module 20 to present graphical indications such as these when the current time and/or current location of computing device 10 corresponds to a particular time and/or place.

Whether suggestion module 26 is invoked automatically by computing device 10 or in response to user interaction, suggestion module 26 may determine whether the current location of computing device 10 and/or the current time corresponds to any of the time and/or location tags associated with the tagged portions of communication data identified by UDA module 24. If suggestion module 26 determines that the current location of computing device 10 and/or the current time does correspond to the any of the time and/or location tags, suggestion module 26 may retrieve the corresponding tagged communication data and format the tagged communication data into one or more information cards. Suggestion module 26 may transmit the formatted data to UI module 20 for inclusion as a graphical indication (e.g., an information card) of user interface 14.

For example, suggestion module 26 may receive location and time data from device location module 22. Suggestion module 26 may receive the location and time data periodically (e.g., at specific time intervals) and/or when device location module 22 determines that the current location of computing device 10 changes. Likewise, suggestion module 26 may request the location and time data from device location module 22 in response to an indication of an input detected at UID 12 to present an information card.

The location and time data received from device location module 22 may include information about the current location of computing device 10 and/or the current time (e.g., at the current location of computing device 10). The location data may include information such as a coordinate location and/or a name of a physical location (e.g., an airport name, a movie theatre name, a street, etc.). Suggestion module 26 may compare the current location and/or the current time to the time and/or location tags associated with the tagged communication data stored locally and/or remotely to computing device 10 by UDA module 24. The computing device may determine that the portions of tagged communication data having time and/or location tags that approximately correspond to the current location and/or the current time match the current location and/or the current time. Based on the comparison, suggestion module 26 may identify corresponding portions of tagged information that may be of interest to the user at the current time and/or the current location.

For example, suggestion module 26 may parse the tagged communication data for one or more location tags within a threshold distance from the current location of computing device 10. Similarly, suggestion module 26 may parse the tagged communication data for one or more time tags within a threshold amount of time from the current time. If any of the time and/or location tags are within the threshold distance and or threshold times, suggestion module 26 may identify those portions of communication data that are associated with the identified tags as being “matching” portions of communication data to present as information cards.

Suggestion module 26 may format the portions of information within the corresponding communication data into one or more information cards (e.g., card 16) for inclusion within user interface 14. For example, suggestion module 26 may retrieve the data that UDA module 24 organized by category and field into graphical information that can be presented as graphical indications (e.g., information cards) in user interface 14. Suggestion module 26 may output the graphical information to UI module 20. UI module 20 may cause UID 12 to present the graphical indications corresponding to the graphical information as information card 16 within user interface 14.

In accordance with techniques of this disclosure, computing device 10 may determine, based on previous communications, a time and a location associated with at least a portion of information included in the previous communications. For example, computing device 10 may execute an e-mail application that receives one or more e-mail messages over time. With explicit permission from the user to access personal information such as e-mail, UDA module 22 may data mine the one or more e-mail messages for keywords and phrases that may indicate future important times, locations and events. Events may include public events, such as movies, airplane flights, other entertainment performances, etc. and personal events, or events that are not necessarily public in nature, such as birthday parties, meetings, social gatherings, etc.

For example, a user of computing device 10 may book a flight two weeks prior to traveling. An e-mail client executing at computing device 10 may receive an e-mail confirmation of the flight booking from the airline. UDA module 24 may data mine the e-mail confirmation for one or more keywords about travel and after detecting the keywords, categorize the communication as flight information (e.g., based on information within the e-mail about a date of travel, a time of travel, a name of an airport, an electronic ticket confirmation number, etc.). UDA module 24 may apply a time and location tag to portions of information within the e-mail communication for later retrieval by suggestion module 26. For instance, UDA module 24 may assign one or more pointers to the portions of information that correspond to the future time and future locations indicated by the communication.

Computing device 10 may determine a current location of the computing device and a current time. For example, at some time subsequent to receiving the e-mail confirmation from the airline, device location module 22 may determine the current location of computing device 10. Device location module 22 may determine the current location corresponds to an international airport. Device location module 22 may determine based on a GPS signal received by computing device 10 the current date and time.

Computing device 10 may determine, based at least in part on the current location and the current time, that the current location and the current time correspond to the location and the time associated with the at least a portion of the information. For example, suggestion module 26 may receive the current location and the current time from device location module 22 that indicates computing device 10 is at the international airport the day of the flight indicated within the e-mail confirmation. Suggestion module 26 may compare the current location (e.g., the international airport location) and the current time to the time and location tags within the tagged portions of previous communications stored by computing device 10. Suggestion module 26 may identify the tagged data associated with the portions of the flight e-mail confirmation as corresponding to the current location and current time.

For example, suggestion module 26 may compare the current location and/or the current time to the time and location tags within the tagged portions of previous communications. Suggestion module 26 may determine the time tag has a time value within a time threshold (e.g., one day) of the current time. Suggestion module 26 may determine the location tag has a location value within a location threshold (e.g., one mile) of the current location. Suggestion module 26 may determine that the location and/or time tags associated with the portions of the flight e-mail confirmation match the current location and current time.

Computing device 10 may output, for display, a graphical indication of the at least a portion of the information. For example, suggestion module 26 may format the portions of the flight e-mail confirmation into graphical information of an information card (e.g., card 16). Suggestion module 26 may send as output, the graphical information to UI module 20 with instructions for updating the presentation of user interface 14. UI module 20 may receive the graphical information of the information card and cause UID 12 to output card 16 within user interface 14.

By using computing device 10, a user may rarely manually perform a keyword search on the Internet or a manual search though previous communications to find information (such as an e-ticket, movie show times, real estate listings, etc.) relevant to the current location of computing device 10 and/or the current time. Instead, automatically or upon request from the user, computing device 10 may present information cards that include likely information of interest to the user based on the current location of computing device 10 and the current time. Computing device 10 may minimize the time spent by a user performing unsuccessful searches through previous communication and/or on the Internet to find information related to a current time and or a current location. With the user performing fewer searches in this way, computing device 10 may perform fewer operations and use less power.

FIG. 2 is a block diagram illustrating an example computing device, in accordance with one or more aspects of the present disclosure. Computing device 10 of FIG. 2 is described below within the context of FIG. 1. FIG. 2 illustrates only one particular example of computing device 10, and many other examples of computing device 10 may be used in other instances and may include a subset of the components included in example computing device 10 or may include additional components not shown in FIG. 2.

As shown in the example of FIG. 2, computing device 10 includes user interface device 12 (“UID 12”), one or more processors 40, one or more input devices 42, one or more communication units 44, one or more output devices 46, and one or more storage devices 48. Storage devices 48 of computing device 10 also include UI module 20, device location module 22, user data analysis module 24, and suggestion module 26. Communication channels 50 may interconnect each of the components 12, 13, 20, 22, 24, 26, 40, 42, 44, and 46 for inter-component communications (physically, communicatively, and/or operatively). In some examples, communication channels 50 may include a system bus, a network connection, an inter-process communication data structure, or any other method for communicating data.

One or more input devices 42 of computing device 10 may receive input. Examples of input are tactile, audio, and video input. Input devices 42 of computing device 10, in one example, includes a presence-sensitive screen, touch-sensitive screen, mouse, keyboard, voice responsive system, video camera, microphone or any other type of device for detecting input from a human or machine.

One or more output devices 46 of computing device 10 may generate output. Examples of output are tactile, audio, and video output. Output devices 46 of computing device 10, in one example, includes a presence-sensitive screen, sound card, video graphics adapter card, speaker, cathode ray tube (CRT) monitor, liquid crystal display (LCD), or any other type of device for generating output to a human or machine.

One or more communication units 44 of computing device 10 may communicate with external devices via one or more networks by transmitting and/or receiving network signals on the one or more networks. For example, computing device 10 may use communication unit 44 to transmit and/or receive radio signals on a radio network such as a cellular radio network. Likewise, communication units 44 may transmit and/or receive satellite signals on a satellite network such as a global positioning system (GPS) network. Examples of communication unit 44 include a network interface card (e.g. such as an Ethernet card), an optical transceiver, a radio frequency transceiver, a GPS receiver, or any other type of device that can send and/or receive information. Other examples of communication units 44 may include short wave radios, cellular data radios, wireless Ethernet network radios, as well as universal serial bus (USB) controllers.

In some examples, UID 12 of computing device 10 may include functionality of input devices 42 and/or output devices 46. In the example of FIG. 2, UID 12 may be or may include a presence-sensitive screen. In some examples, a presence sensitive screen may detect an object at and/or near the presence-sensitive screen. As one example range, a presence-sensitive screen may detect an object, such as a finger or stylus that is within 2 inches or less of the presence-sensitive screen. The presence-sensitive screen may determine a location (e.g., an (x,y) coordinate) of the presence-sensitive screen at which the object was detected. In another example range, a presence-sensitive screen may detect an object six inches or less from the presence-sensitive screen and other ranges are also possible. The presence-sensitive screen may determine the location of the screen selected by a user's finger using capacitive, inductive, and/or optical recognition techniques. In some examples, presence sensitive screen provides output to a user using tactile, audio, or video stimuli as described with respect to output device 46. In the example of FIG. 2, UID 12 presents a user interface (such as user interface 14 of FIG. 1).

While illustrated as an internal component of computing device 10, UID 12 also represents and external component that shares a data path with computing device 10 for transmitting and/or receiving input and output. For instance, in one example, UID 12 represents a built-in component of computing device 10 located within and physically connected to the external packaging of computing device 10 (e.g., a screen on a mobile phone). In another example, UID 12 represents an external component of computing device 10 located outside and physically separated from the packaging of computing device 10 (e.g., a monitor, a projector, etc. that shares a wired and/or wireless data path with a tablet computer).

One or more storage devices 48 within computing device 10 may store information for processing during operation of computing device 10 (e.g., computing device 10 may store data accessed by modules 20, 22, 24, and 26 during execution at computing device 10). In some examples, storage device 48 is a temporary memory, meaning that a primary purpose of storage device 48 is not long-term storage. Storage devices 48 on computing device 10 may configured for short-term storage of information as volatile memory and therefore not retain stored contents if powered off. Examples of volatile memories include random access memories (RAM), dynamic random access memories (DRAM), static random access memories (SRAM), and other forms of volatile memories known in the art.

Storage devices 48, in some examples, also include one or more computer-readable storage media. Storage devices 48 may be configured to store larger amounts of information than volatile memory. Storage devices 48 may further be configured for long-term storage of information as non-volatile memory space and retain information after power on/off cycles. Examples of non-volatile memories include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM) or electrically erasable and programmable (EEPROM) memories. Storage devices 48 may store program instructions and/or data associated with modules 20, 22, 24, and 26.

One or more processors 40 may implement functionality and/or execute instructions within computing device 10. For example, processors 40 on computing device 10 may receive and execute instructions stored by storage devices 48 that execute the functionality of UI module 20, device location module 22, user data analysis module 24, and suggestion module 26. These instructions executed by processors 40 may cause computing device 10 to store information, within storage devices 48 during program execution. Processors 40 may execute instructions of modules 20, 22, 24, and 26 to cause UID 12 to present user interface 14 with information card 16 at UID 12. That is, modules 20, 22, 24, and 26 may be operable by processors 40 to perform various actions or functions of computing device 10, for instance, causing UID 12 to present user interface 14 at UID 12.

In accordance with aspects of this disclosure computing device 10 of FIG. 2 may determine, based on previous communications, a time and a location associated with at least a portion of information included in the previous communications. For example, computing device 10 may execute an e-mail application that receives one or more e-mail messages over time. With explicit permission from the user to access personal information such as e-mail, UDA module 22 may data mine the one or more e-mail messages for keywords and phrases that may indicate future important times, locations and events. For example, a user of computing device 10 may purchase tickets to a movie from a movie theatre webpage. An e-mail client executing at computing device 10 may receive an e-mail confirmation of the movie ticket booking from the theatre. UDA module 24 may data mine the e-mail confirmation for one or more keywords indicating an e-ticket and after detecting the keywords, categorize the communication as movie ticket information (e.g., based on information within the e-mail about a date of the movie, time of the movie, theatre location, movie title, etc.). UDA module 24 may apply time and location tags to portions of information within the e-mail communication for later retrieval by suggestion module 26. For instance, UDA module 24 may assign one or more pointers to the portions of information that correspond to the future time and future location indicated in the e-mail communication.

Computing device 10 may determine a current location of the computing device and a current time (e.g., at the current location of the computing device). For example, at some time subsequent to receiving the e-mail confirmation from the theatre, device location module 22 may determine the current location of computing device 10. For instance, the user of computing device 10 may travel to the theatre a few minutes prior to the movie indicated in the e-mail confirmation. Device location module 22 may determine the current location corresponds to a particular movie theatre. Device location module 22 may determine based on a GPS signal received by computing device 10 the current date and time.

Computing device 10 may determine, based at least in part on the current location and the current time, that the current location and the current time correspond to the location and the time associated with the at least a portion of the information. For example, suggestion module 26 may receive the current location and the current time from device location module 22 that indicates computing device 10 is at the movie theatre within an hour of the start time of the movie indicated within the e-mail confirmation. Suggestion module 26 may compare the current location (e.g., the movie theatre location) and the current time to the time and location tags within the tagged portions of previous communications stored by computing device 10. Suggestion module 26 may identify the tagged data associated with the portions of the movie ticket e-mail confirmation as corresponding to the current location and current time.

Computing device 10 may output, for display, a graphical indication of the at least a portion of the information. For example, suggestion module 26 may format the portions of the movie ticket e-mail confirmation into graphical information of an information card that when presented at UID 12 represents an e-ticket for presentation and entrance to the movie. Suggestion module 26 may send as output, the graphical information to UI module 20 with instructions for updating the presentation of user interface 14. UI module 20 may receive the graphical information of the information card and cause UID 12 to output the information within user interface 14.

FIG. 3 is a block diagram illustrating an example computing device that outputs graphical content for display at a remote device, in accordance with one or more techniques of the present disclosure. Graphical content, generally, may include any visual information that may be output for display, such as text, images, a group of moving images, etc. The example shown in FIG. 3 includes a computing device 100, presence-sensitive display 101, communication unit 110, projector 120, projector screen 122, mobile device 126, and visual display device 130. Although shown for purposes of example in FIGS. 1 and 2 as a stand-alone computing device 10, a computing device such as computing devices 10, 100 may, generally, be any component or system that includes a processor or other suitable computing environment for executing software instructions and, for example, need not include a presence-sensitive display.

As shown in the example of FIG. 3, computing device 100 may be a processor that includes functionality as described with respect to processor 40 in FIG. 2. In such examples, computing device 100 may be operatively coupled to presence-sensitive display 101 by a communication channel 102A, which may be a system bus or other suitable connection. Computing device 100 may also be operatively coupled to communication unit 110, further described below, by a communication channel 102B, which may also be a system bus or other suitable connection. Although shown separately as an example in FIG. 3, computing device 100 may be operatively coupled to presence-sensitive display 101 and communication unit 110 by any number of one or more communication channels.

In other examples, such as illustrated previously by computing device 10 in FIGS. 1-2, a computing device may refer to a portable or mobile device such as mobile phones (including smart phones), laptop computers, etc. In some examples, a computing device may be a desktop computers, tablet computers, smart television platforms, cameras, personal digital assistants (PDAs), servers, mainframes, etc.

Presence-sensitive display 101 may include display device 103 and presence-sensitive input device 105. Display device 103 may, for example, receive data from computing device 100 and display the graphical content. In some examples, presence-sensitive input device 105 may determine one or more inputs (e.g., continuous gestures, multi-touch gestures, single-touch gestures, etc.) at presence-sensitive display 101 using capacitive, inductive, and/or optical recognition techniques and send indications of such input to computing device 100 using communication channel 102A. In some examples, presence-sensitive input device 105 may be physically positioned on top of display device 103 such that, when a user positions an input unit over a graphical element displayed by display device 103, the location at which presence-sensitive input device 105 corresponds to the location of display device 103 at which the graphical element is displayed. In other examples, presence-sensitive input device 105 may be positioned physically apart from display device 103, and locations of presence-sensitive input device 105 may correspond to locations of display device 103, such that input can be made at presence-sensitive input device 105 for interacting with graphical elements displayed at corresponding locations of display device 103.

As shown in FIG. 3, computing device 100 may also include and/or be operatively coupled with communication unit 110. Communication unit 110 may include functionality of communication unit 44 as described in FIG. 2. Examples of communication unit 110 may include a network interface card, an Ethernet card, an optical transceiver, a radio frequency transceiver, or any other type of device that can send and receive information. Other examples of such communication units may include Bluetooth, 3G, and Wi-Fi radios, Universal Serial Bus (USB) interfaces, etc. Computing device 100 may also include and/or be operatively coupled with one or more other devices, e.g., input devices, output devices, memory, storage devices, etc. that are not shown in FIG. 3 for purposes of brevity and illustration.

FIG. 3 also illustrates a projector 120 and projector screen 122. Other such examples of projection devices may include electronic whiteboards, holographic display devices, and any other suitable devices for displaying graphical content. Projector 120 and projector screen 122 may include one or more communication units that enable the respective devices to communicate with computing device 100. In some examples, the one or more communication units may enable communication between projector 120 and projector screen 122. Projector 120 may receive data from computing device 100 that includes graphical content. Projector 120, in response to receiving the data, may project the graphical content onto projector screen 122. In some examples, projector 120 may determine one or more inputs (e.g., continuous gestures, multi-touch gestures, single-touch gestures, etc.) at projector screen 122 using optical recognition or other suitable techniques and send indications of such input using one or more communication units to computing device 100. In such examples, projector screen 122 may be unnecessary, and projector 120 may project graphical content on any suitable medium and detect one or more user inputs using optical recognition or other such suitable techniques.

Projector screen 122, in some examples, may include a presence-sensitive display 124. Presence-sensitive display 124 may include a subset of functionality or all of the functionality of UI device 4 as described in this disclosure. In some examples, presence-sensitive display 124 may include additional functionality. Projector screen 122 (e.g., an electronic whiteboard), may receive data from computing device 100 and display the graphical content. In some examples, presence-sensitive display 124 may determine one or more inputs (e.g., continuous gestures, multi-touch gestures, single-touch gestures, etc.) at projector screen 122 using capacitive, inductive, and/or optical recognition techniques and send indications of such input using one or more communication units to computing device 100.

FIG. 3 also illustrates mobile device 126 and visual display device 130. Mobile device 126 and visual display device 130 may each include computing and connectivity capabilities. Examples of mobile device 126 may include e-reader devices, convertible notebook devices, hybrid slate devices, etc. Examples of visual display device 130 may include other semi-stationary devices such as televisions, computer monitors, etc. As shown in FIG. 3, mobile device 126 may include a presence-sensitive display 128. Visual display device 130 may include a presence-sensitive display 132. Presence-sensitive displays 128, 132 may include a subset of functionality or all of the functionality of UID 12 as described in this disclosure. In some examples, presence-sensitive displays 128, 132 may include additional functionality. In any case, presence-sensitive display 132, for example, may receive data from computing device 100 and display the graphical content. In some examples, presence-sensitive display 132 may determine one or more inputs (e.g., continuous gestures, multi-touch gestures, single-touch gestures, etc.) at projector screen using capacitive, inductive, and/or optical recognition techniques and send indications of such input using one or more communication units to computing device 100.

As described above, in some examples, computing device 100 may output graphical content for display at presence-sensitive display 101 that is coupled to computing device 100 by a system bus or other suitable communication channel. Computing device 100 may also output graphical content for display at one or more remote devices, such as projector 120, projector screen 122, mobile device 126, and visual display device 130. For instance, computing device 100 may execute one or more instructions to generate and/or modify graphical content in accordance with techniques of the present disclosure. Computing device 100 may output the data that includes the graphical content to a communication unit of computing device 100, such as communication unit 110. Communication unit 110 may send the data to one or more of the remote devices, such as projector 120, projector screen 122, mobile device 126, and/or visual display device 130. In this way, computing device 100 may output the graphical content for display at one or more of the remote devices. In some examples, one or more of the remote devices may output the graphical content at a presence-sensitive display that is included in and/or operatively coupled to the respective remote devices.

In some examples, computing device 100 may not output graphical content at presence-sensitive display 101 that is operatively coupled to computing device 100. In other examples, computing device 100 may output graphical content for display at both a presence-sensitive display 101 that is coupled to computing device 100 by communication channel 102A, and at one or more remote devices. In such examples, the graphical content may be displayed substantially contemporaneously at each respective device. For instance, some delay may be introduced by the communication latency to send the data that includes the graphical content to the remote device. In some examples, graphical content generated by computing device 100 and output for display at presence-sensitive display 101 may be different than graphical content display output for display at one or more remote devices.

Computing device 100 may send and receive data using any suitable communication techniques. For example, computing device 100 may be operatively coupled to external network 114 using network link 112A. Each of the remote devices illustrated in FIG. 3 may be operatively coupled to network external network 114 by one of respective network links 112B, 112C, and 112D. External network 114 may include network hubs, network switches, network routers, etc., that are operatively inter-coupled thereby providing for the exchange of information between computing device 100 and the remote devices illustrated in FIG. 3. In some examples, network links 112A-112D may be Ethernet, ATM or other network connections. Such connections may be wireless and/or wired connections.

In some examples, computing device 100 may be operatively coupled to one or more of the remote devices included in FIG. 3 using direct device communication 118. Direct device communication 118 may include communications through which computing device 100 sends and receives data directly with a remote device, using wired or wireless communication. That is, in some examples of direct device communication 118, data sent by computing device 100 may not be forwarded by one or more additional devices before being received at the remote device, and vice-versa. Examples of direct device communication 118 may include Bluetooth, Near-Field Communication, Universal Serial Bus, Wi-Fi, infrared, etc. One or more of the remote devices illustrated in FIG. 3 may be operatively coupled with computing device 100 by communication links 116A-116D. In some examples, communication links 112A-112D may be connections using Bluetooth, Near-Field Communication, Universal Serial Bus, infrared, etc. Such connections may be wireless and/or wired connections.

In accordance with techniques of the disclosure, computing device 100 may be operatively coupled to visual display device 130 using external network 114. Computing device 100 may determine, based on previous communications, a time and a location associated with at least a portion of information included in the previous communications. For example, computing device 100 may execute an e-mail application that receives one or more e-mail messages over time. With explicit permission from the user to access personal information such as e-mail, computing device 100 may data mine the one or more e-mail messages for keywords and phrases that may indicate future important times, locations and events. Computing device 100 may time and location tag the portions of information within the e-mail communication for later retrieval.

Computing device 100 may determine a current location of computing device 100 and a current time. Computing device 100 may determine, based at least in part on the current location and the current time, that the current location and the current time correspond to the location and the time associated with the at least a portion of the information. For example, computing device 100 may compare the current location and the current time to the time and location tags within the tagged portions of previous communications stored by computing device 100. Computing device 100 may identify the tagged data associated with the portions of the previous communications as corresponding to the current location and current time.

Computing device 100 may output, for display, a graphical indication of the at least a portion of the information. For example, computing device 100 may format the portions of the previous communications into graphical information related to graphical indications (e.g., information cards) to be included in a user interface (e.g., card 16) presented at visual display device 130. Computing device 100 may send the graphical information to visual display device 130 over external network 114. Visual display device may output for display a graphical indication of the at least a portion of the information.

FIGS. 4 through 6 are conceptual diagrams illustrating example graphical user interfaces for presenting information relevant to a particular time and location of a computing device, in accordance with one or more aspects of the present disclosure. FIGS. 4 through 6 are described below in the context of computing device 10 from FIG. 1 and FIG. 2. For instance, FIGS. 4 through 6 show mobile phone 200 as one example of computing device 10 from FIG. 1 and FIG. 2. Mobile phone 200 may include UDA module 24, device location module 22, suggestion module 26, and UI module 20. Mobile phone may include UID 12 for presenting a user interface and information cards 220, 240, and 260 to a user.

In the example of FIG. 4, mobile phone 200 presents information card 220 (e.g., at a screen of UID 12) which includes information about an online real estate listing of an apartment for rent. Mobile phone 200 may determine, based on previous communications related to internet searches for property listings on the internet or e-mail communications with a realtor, a location associated with at least a portion of information included in the previous communications. For instance, mobile phone 200 may determine a street location or an area of a city within the previous communications and tag the previous communications with the street location.

When a user of mobile phone 200 enters the area of the city indicated by the e-mail communications, mobile phone 200 may determine the current location of mobile phone 200 corresponds to the location tag of the e-mail communication and present information card 220 that includes one or more online listings of real estate in the area (e.g., information card 220 may include portions of the information in the e-mail communication with the realtor that includes the one or more online listings). In this way, whether the user requested to view information card 220 or mobile phone 200 automatically presented information card 220, a user is alerted about information of interest to the user for a current time and a current location of mobile phone 200.

In the example of FIG. 5, mobile phone 200 presents information card 240 (e.g., at a screen of UID 12) which includes information about an e-ticket for a movie showing at a theatre. Mobile phone 200 may determine, based on a previous e-mail communication confirming the online purchase of a movie ticket, a location and a time associated with at least a portion of information included in the previous communication. For instance, mobile phone 200 may determine an address of the movie theatre and a time the movie is playing based on the previous e-mail communication and may tag the previous communication with the address and the time.

When a user of mobile phone 200 enters the movie theatre indicated in the e-mail confirmation at a time just prior to the start of the movie, mobile phone 200 may determine the current location of mobile phone 200 and the current time corresponds to the location tag of the e-mail communication and present information card 240 at UID 12 (e.g., the screen of mobile phone 200) that includes the e-ticket. In this way, whether the user requested to view information card 240 or mobile phone 200 automatically presented information card 240, a user does not need to search for the e-ticket confirmation e-mail with mobile phone 200 while at the theatre at the time of the movie. Instead, the user is alerted about the e-ticket at the appropriate time and place indicated by the e-mail confirmation when the current location of mobile phone 200 and the current time corresponds to the location and time of the movie.

In the example of FIG. 6, mobile phone 200 presents information card 260 (e.g., at a screen of UID 12) which includes information about a movie showing at a movie theatre. Mobile phone 200 may determine, by data mining and time and location tagging previous communications (e.g., social network interactions between a user and friends) a location associated with at least a portion of information included in the previous communications. For instance, mobile phone 200 may determine a street location of a theatre mentioned within the previous communications and tag the previous communications with the street location.

When a user of mobile phone 200 enters within a threshold distance of the theatre (e.g., one mile) with mobile phone 200, mobile phone 200 may determine the current location of mobile phone 200 corresponds to the location tag of the previous social media communications (e.g., the movie theatre) and present information card 260 that includes a popular movie playing at the nearby theatre in the immediate future (e.g., at 10:25 pm). In this way, whether the user requested to view information card 260 or mobile phone 200 automatically presented information card 260, a user is alerted about information of interest to the user for a current time and a current location of mobile phone 200.

FIG. 7 is a flowchart illustrating an example operation of the computing device, in accordance with one or more aspects of the present disclosure. The process of FIG. 7 may be performed by one or more processors of a computing device, such as computing device 10 and computing device 100 illustrated in FIG. 1, FIG. 2, and FIG. 3. For purposes of illustration, FIG. 7 is described below within the context of computing devices 10 of FIG. 1.

Computing device 10 may determine based on previous communications, a location associated with at least a portion of information included in the previous communications (300). For example, computing device 10 may data mine and/or otherwise parse communications for information having a time and/or location dependency, such as flight confirmations, e-tickets, etc. Computing device 10 may tag the previous communications with location and time data for later retrieval.

Computing device 10 may determine a current device location of computing device 10 (310). For example, a user interacting with computing device 10 may interact with user interface 14. The user may provide a gesture at a presence-sensitive input device of computing device 10 to command computing device 10 to present information cards within user interface 14. In response to an indication of the gesture detected at the presence-sensitive input device, computing device 10 may determine the current device location of computing device 10 (e.g., GPS coordinates) and the current time.

Computing device 10 may determine, based at least in part on the current device location, that the current location corresponds to the location associated with the portion of the information (320). For example, to determine information that the user may find relevant to the current device location and current time, computing device 10 may parse the previous communications for location and time tags corresponding to the current location and the current time. Computing device 10 may retrieve the portions of the previous communications having location and time tags that match the current location and the current time. In some examples, computing device 10 may determine the matching location and time tags based on approximate correlations between the location and time tags of portions of communication data and the current location and/or the current time. For example, computing device 10 may identify location and time tags of portions of communication data having values that are within a threshold quantity of distances and/or time to the current location and the current time. In other words, computing device 10 may search and identify location tags of data that are within a location threshold (e.g., two blocks, five miles, etc.) of the current location. Computing device 10 may search and identify matching time tags of data that are within a time threshold (e.g., one day, two hours, twenty minutes, etc.) of the current time.

Computing device 10 may output, for display, a graphical indication of the portion of the information (330). For example, computing device 10 may present one or more information cards within user interface 14 at a display device (e.g., the presence-sensitive screen).

In some examples, the computing system may output, for transmission to the computing device, an indication of a credential associated with the event for output by a computing device. In some examples, the indication of the credential may be output, for transmission to the computing device, in response to an indication that the current location of the computing device is within a threshold distance of the future location.

In some examples, the indication of the credential may be output, for transmission to the computing device, in response to an indication that a current time is within a threshold time of the future time. In some examples, the indication of the credential associated with the event may be outputted for transmission to the computing device in response to receiving a request for the credential associated with the event.

In some examples, responsive to obtaining an indication that the current location of the computing device is within a threshold distance of the future location, the computing system may output, for transmission to the computing device, an indication associated with the event. In some examples, responsive to obtaining an indication that a current time is within a threshold time of the departure time, the computing system may output, for transmission to the computing device, an indication that the user of the computing device needs to depart from the current location of the computing device in order to arrive at the future location by the arrival time.

In some examples, the computing system may determine the departure time based at least in part on traffic conditions along a travel route from the current location of the computing device to the future location. In some examples, the computing system may classify the information included in the at least one previous communication by at least applying one or more location tags and one or more time tags to the information included in the at least one previous communication. The indication of the future location and the future time may be obtained in response to a determination that a location value of at least one of the one or more location tags is within a threshold distance of the current location of the computing device and a time value of at least one of the one or more time tags is within a threshold time of a current time.

In some examples, the computing system may determine that the location value of at least one of the one or more location tags is associated with the current location of the computing device and that the time value of at least one of the one or more time tags is associated with the current time by at least obtaining an indication that the location value is within a threshold distance of the current location of the computing device and that the time value is within a threshold time of the current time. In some examples, the computing system may obtain the information associated with the event based on an identification of at least one keyword associated with the event within a portion of the information included in the at least one previous communication.

In some examples, the indication of the departure time may include at least one of a graphical indication of the departure time and an audible indication of the departure time. In some examples, the arrival time may correspond to a time of day that occurs prior to the future time. In some examples, the arrival time may indicate a time of day that corresponds to the future time.

The techniques described herein may be implemented in hardware, firmware, or any combination thereof. The hardware may, also execute software. Any features described as modules, units or components may be implemented together in an integrated logic device or separately as discrete but interoperable logic devices. In some cases, various features may be implemented as an integrated circuit device, such as an integrated circuit chip or chipset. If implemented in software, the techniques may be realized at least in part by a computer-readable storage medium comprising instructions that, when executed, cause a processor to perform one or more of the techniques described above.

A computer-readable storage medium may form part of a computer program product, which may include packaging materials. A computer-readable storage medium may comprise a computer data storage medium such as random access memory (RAM), synchronous dynamic random access memory (SDRAM), read-only memory (ROM), non-volatile random access memory (NVRAM), electrically erasable programmable read-only memory (EEPROM), FLASH memory, magnetic or optical data storage media, and the like. The techniques additionally, or alternatively, may be realized at least in part by a computer-readable communication medium that carries or communicates code in the form of instructions or data structures and that can be accessed, read, and/or executed by a computer.

The code or instructions may be executed by one or more processors, such as one or more DSPs, general purpose microprocessors, ASICs, field programmable logic arrays (FPGAs), or other equivalent integrated or discrete logic circuitry. Accordingly, the term “processor,” as used herein may refer to any of the foregoing structure or any other structure suitable for implementation of the techniques described herein. In addition, in some aspects, the functionality described herein may be provided within dedicated software modules or hardware modules. The disclosure also contemplates any of a variety of integrated circuit devices that include circuitry to implement one or more of the techniques described in this disclosure. Such circuitry may be provided in a single integrated circuit chip or in multiple, interoperable integrated circuit chips in a so-called chipset. Such integrated circuit devices may be used in a variety of applications.

Various examples have been described. These and other examples are within the scope of the following claims.

Claims

1. A method comprising:

obtaining, by a computing system and based at least in part on information included in at least one previous communication associated with a user of a computing device, an indication of a future location and a future time;
obtaining, by the computing system, information associated with an event, the event being associated with the future location and the future time;
obtaining, by the computing system, a duration of time for the user of the computing device to travel from a current location of the computing device to the future location;
obtaining, by the computing system, based at least in part on the duration of time, a departure time at which the user of the computing device is predicted to need to depart from the current location of the computing device in order to arrive at the future location by an arrival time, the arrival time being determined based at least in part on the future time; and
outputting, by the computing system, for transmission to the computing device, an indication of the departure time.

2. The method of claim 1, further comprising:

outputting, by the computing system, for transmission to the computing device, an indication of a credential associated with the event for output by a computing device.

3. The method of claim 2, wherein the indication of the credential associated with the event is output, for transmission to the computing device, responsive to an indication that the current location of the computing device is within a threshold distance of the future location.

4. The method of claim 2, wherein the indication of the credential associated with the event is output, for transmission to the computing device, responsive to an indication that a current time is within a threshold time of the future time.

5. The method of claim 2, wherein the indication of the credential associated with the event is outputted for transmission in response to receiving, by the computing system, from the computing device, a request for a credential associated with the event.

6. The method of claim 1, further comprising:

responsive to obtaining an indication that the current location of the computing device is within a threshold distance of the future location, outputting, by the computing system, for transmission to the computing device, an indication associated with the event.

7. The method of claim 1, further comprising:

responsive to obtaining an indication that a current time is within a threshold time of the departure time, outputting, by the computing system, for transmission to the computing device, an indication that the user of the computing device needs to depart from the current location of the computing device in order to arrive at the future location by the arrival time.

8. The method of claim 1, further comprising:

determining, by the computing system and based at least in part on traffic conditions along a travel route from the current location of the computing device to the future location, the departure time.

9. The method of claim 1, further comprising:

classifying, by the computing system, the information included in the at least one previous communication by at least applying one or more location tags and one or more time tags to the information, wherein obtaining the indication of the future location and the future time comprises determining that a location value of at least one of the one or more location tags is associated with the current location of the computing device and that a time value of at least one of the one or more time tags is associated with a current time.

10. The method of claim 9, wherein determining that the location value of at least one of the one or more location tags is associated with the current location of the computing device and that the time value of at least one of the one or more time tags is associated with the current time comprises obtaining, by the computing system, an indication that the location value is within a threshold distance of the current location of the computing device and that the time value is within a threshold time of the current time.

11. The method of claim 1, wherein obtaining the information associated with the event comprises identifying, by the computing system, at least one keyword associated with the event within a portion of the information included in the one or more previous communications.

12. The method of claim 1, wherein the arrival time corresponds to a time of day that occurs prior to the future time.

13. The method of claim 1, wherein the arrival time indicates a time of day that corresponds to the future time.

14. A computing system comprising:

at least one processor; and
at least one module operable by the at least one processor to: obtain, based at least in part on information included in at least one previous communication associated with a user of a computing device, an indication of a future location and a future time; obtain information associated with an event, the event being associated with the future location and the future time; obtain a duration of time for the user of the computing device to travel from a current location of the computing device to the future location; obtain, based at least in part on the duration of time, a departure time at which the user of the computing device is predicted to need to depart from the current location of the computing device in order to arrive at the future location by an arrival time, the arrival time being determined based at least in part on the future time; and output, for transmission to the computing device, an indication of the departure time.

15. The computing system of claim 14, wherein the at least one module is further operable by the at least one processor to: output, for transmission to the computing device, an indication of a credential associated with the event for output by a computing device.

16. The computing system of claim 15, wherein the indication of the credential is output, for transmission to the computing device, in response to an indication that the current location of the computing device is within a threshold distance of the future location.

17. The computing system of claim 15, wherein the indication of the credential is output, for transmission to the computing device, in response to an indication that a current time is within a threshold time of the future time.

18. The computing system of claim 15, wherein the indication of the credential associated with the event is outputted for transmission to the computing device in response to receiving a request for the credential associated with the event.

19. The computing system of claim 14, wherein the at least one module is further operable by the at least one processor to: responsive to obtaining an indication that the current location of the computing device is within a threshold distance of the future location, output, for transmission to the computing device, an indication associated with the event.

20. The computing system of claim 14, wherein the at least one module is further operable by the at least one processor to: responsive to obtaining an indication that a current time is within a threshold time of the departure time, output, for transmission to the computing device, an indication that the user of the computing device needs to depart from the current location of the computing device in order to arrive at the future location by the arrival time.

21. The computing system of claim 14, wherein the at least one module is further operable by the at least one processor to determine the departure time based at least in part on traffic conditions along a travel route from the current location of the computing device to the future location.

22. The computing system of claim 14, wherein the at least one module is further operable by the at least one processor to classify the information included in the at least one previous communication by at least applying one or more location tags and one or more time tags to the information included in the at least one previous communication, wherein the indication of the future location and the future time is obtained in response to a determination that a location value of at least one of the one or more location tags is within a threshold distance of the current location of the computing device and a time value of at least one of the one or more time tags is within a threshold time of a current time.

23. The computing system of claim 22, wherein the at least one module is further operable by the at least one processor to determine that the location value of at least one of the one or more location tags is associated with the current location of the computing device and that the time value of at least one of the one or more time tags is associated with the current time by at least obtaining an indication that the location value is within a threshold distance of the current location of the computing device and that the time value is within a threshold time of the current time.

24. The computing system of claim 14, wherein the at least one module is further operable by the at least one processor to obtain the information associated with the event based on an identification of at least one keyword associated with the event within a portion of the information included in the at least one previous communication.

25. The computing system of claim 14, wherein the arrival time corresponds to a time of day that occurs prior to the future time.

26. The computing system of claim 14, wherein the arrival time indicates a time of day that corresponds to the future time.

Patent History
Publication number: 20130344899
Type: Application
Filed: Jul 26, 2013
Publication Date: Dec 26, 2013
Applicant: Google Inc. (Mountain View, CA)
Inventors: Tom Carl Stamm (Louisville, CO), Dale Kris Hawkins (Erie, CO), James A. Guggemos (Windsor, CO), Tushar Udeshi (Broomfield, CO), Pablo Bellver (Mountain View, CA), Emil Praun (Union City, CA), Guang Yang (San Jose, CA), Andrew Kirmse (Redwood City, CA), Gokay Baris Gultekin (Palo Alto, CA), Bill Connor (Mountain View, CA), Keir Banks Mierle (Mountain View, CA)
Application Number: 13/952,447
Classifications
Current U.S. Class: Position Based Personal Service (455/456.3)
International Classification: H04W 4/02 (20060101);