Abstract: Techniques for digital assistant experience based on presence sensing are described herein. In implementations, a system is able to detect user presence and distance from a reference point, and tailor a digital assistant experience based on distance. The distance, for example, represents a distance from a client device that outputs various elements of a digital assistant experience, such as visual and audio elements. Various other contextual factors may additionally or alternatively be considered in adapting a digital assistant experience.

Abstract: Systems and methods that regulate range of access to personal information of a mobile unit's owner. The access control component can designate granularity for access levels and/or a spectrum of access modes—(as opposed to a binary choice of full access or no access at all). Such access can be based on a spectrum and/or discrete trust relationship between the owner and user of the mobile unit. A profile definition component can exploit an owner's trust relationships to designate levels of security. The profile definition component can further define a profile based on a set of applications, such as entertainment mode, browser mode, and the like.

Abstract: Techniques for implementing an integrative interactive space are described. In implementations, video cameras that are positioned to capture video at different locations are synchronized such that aspects of the different locations can be used to generate an integrated interactive space. The integrated interactive space can enable users at the different locations to interact, such as via video interaction, audio interaction, and so on. In at least some embodiments, techniques can be implemented to adjust an image of a participant during a video session such that the participant appears to maintain eye contact with other video session participants at other locations. Techniques can also be implemented to provide a virtual shared space that can enable users to interact with the space, and can also enable users to interact with one another and/or objects that are displayed in the virtual shared space.

Abstract: Securely joining a secure wireless communications network is described, for example, where a printer or other device is securely added to a home wireless network. In various embodiments, a temporary wireless network is established between a new joiner device and a second wireless communications device which is already a member of a secure home wireless network. In an example, the temporary wireless network is set up using a secret key known to the new joiner device and the second wireless communications device by virtue of physical proximity. In various examples, the secure, temporary wireless network is used to transfer credentials of the secure home network to the new joiner device which then joins the home network. In an example the temporary wireless network is cancelled once the new joiner device becomes a member of the secure home (or other) wireless network.

Abstract: An electronic device in a topology of interconnected electronic devices can listen for a wake phrase and voice commands. The device can control when and how it responds so that a single device responds to voice commands. Per-task device preferences can be stored for a user. If a preferred device is not available, the task can still be performed on a device that has appropriate capabilities. Machine learning can determine a user's preferences. Power conservation and effective user interaction can result.

Abstract: A “Placement Detector” enables handheld or mobile electronic devices such as phones, media players, tablets, etc., to infer their current position or placement. Placement inference is performed by evaluating one or more sensors associated with the device relative to one or more trained probabilistic models to infer device relative to a user. Example placement inferences include, but are not limited to, inferring whether the device is currently in a user's pocket, in a user's purse (or other carrying bag or backpack), in a closed area such as a drawer or box, in an open area such as on a table, indoors, outdoors, etc. These types of placement inferences facilitate a wide range of automated user-device interactions, including, but not limited to, placement-dependent notifications, placement-dependent responses to various inputs, prevention of inadvertent “pocket dialing,” prevention of inadvertent power cycling of devices, lost or misplaced device location assistance, etc.

Abstract: A method includes receiving one or more search terms at a mobile computing device while the mobile computing device is located at a particular location. A search query that includes the one or more search terms and a location history of the mobile computing device is transmitted to a server. The method also includes receiving one or more search results in response to the search query, where the one or more search results include content identified based on a predicted destination of the mobile computing device. An interface identifying the one or more search results is displayed at the mobile computing device.

Abstract: Methods and systems for occupancy prediction using historical occupancy patterns are described. In an embodiment, an occupancy probability is computed by comparing a recent occupancy pattern to historic occupancy patterns. Sensor data for a room, or other space, is used to generate a table of past occupancy which comprises these historic occupancy patterns. The comparison which is performed identifies a number of similar historic occupancy patterns and data from these similar historic occupancy patterns is combined to generate an occupancy probability for a time in the future. In an example, time may be divided into discrete slots and binary values may be used to indicate occupancy or non-occupancy in each slot. An occupancy probability for a defined future time slot then comprises a combination of the binary values for corresponding time slots from each of the identified similar occupancy patterns.

Abstract: Systems and methods that establish a secured compartment that manages sensitive user transactions/information on a user's machine. The secured compartment qualifies user interaction with the machine, and separates such qualified interaction from other user activity on the machine. A user is switched to such secured compartment upon occurrence of a predetermined event, such as in form of: an explicit request (e.g., a secure attention sequence); an implicit request (e.g., inference of user activities); and presence of a peripheral device that is bound to the secured compartment (e.g., a USB)—wherein such actions typically cannot be generated by an application running outside the secured compartment.

Abstract: Systems and methods that regulate range of access to personal information of a mobile unit's owner. The access control component can designate granularity for access levels and/or a spectrum of access modes—(as opposed to a binary choice of full access or no access at all). Such access can be based on a spectrum and/or discrete trust relationship between the owner and user of the mobile unit. A profile definition component can exploit an owner's trust relationships to designate levels of security. The profile definition component can further define a profile based on a set of applications, such as entertainment mode, browser mode, and the like.

Abstract: Techniques for implementing an integrative interactive space are described. In implementations, video cameras that are positioned to capture video at different locations are synchronized such that aspects of the different locations can be used to generate an integrated interactive space. The integrated interactive space can enable users at the different locations to interact, such as via video interaction, audio interaction, and so on. In at least some embodiments, techniques can be implemented to adjust an image of a participant during a video session such that the participant appears to maintain eye contact with other video session participants at other locations. Techniques can also be implemented to provide a virtual shared space that can enable users to interact with the space, and can also enable users to interact with one another and/or objects that are displayed in the virtual shared space.

Abstract: A method includes receiving one or more search terms at a mobile computing device while the mobile computing device is located at a particular location. A search query that includes the one or more search terms and a location history of the mobile computing device is transmitted to a server. The method also includes receiving one or more search results in response to the search query, where the one or more search results include content identified based on a predicted destination of the mobile computing device. An interface identifying the one or more search results is displayed at the mobile computing device.

Abstract: Various technologies described herein pertain to sensing cardiovascular risk factors of a user. A chair includes one or more sensors configured to output signals indicative of conditions at site(s) on a body of a user. A seat of the chair, a back of the chair, and/or arms of the chair can include the sensor(s). Moreover, the chair includes a collection circuit configured to receive the signals from the sensor(s). A risk factor evaluation component is configured to detect a pulse wave velocity of the user based on the signals from the sensor(s). The risk factor evaluation component is further configured to perform a pulse wave analysis of the user based on a morphology of a pulse pressure waveform of the user, and the pulse pressure waveform is detected based on the signals from the sensor(s).

Abstract: Techniques for implementing an integrative interactive space are described. In implementations, video cameras that are positioned to capture video at different locations are synchronized such that aspects of the different locations can be used to generate an integrated interactive space. The integrated interactive space can enable users at the different locations to interact, such as via video interaction, audio interaction, and so on. In at least some embodiments, techniques can be implemented to adjust an image of a participant during a video session such that the participant appears to maintain eye contact with other video session participants at other locations. Techniques can also be implemented to provide a virtual shared space that can enable users to interact with the space, and can also enable users to interact with one another and/or objects that are displayed in the virtual shared space.

Abstract: Systems and methods that regulate range of access to personal information of a mobile unit's owner. The access control component can designate granularity for access levels and/or a spectrum of access modes—(as opposed to a binary choice of full access or no access at all). Such access can be based on a spectrum and/or discrete trust relationship between the owner and user of the mobile unit. A profile definition component can exploit an owner's trust relationships to designate levels of security. The profile definition component can further define a profile based on a set of applications, such as entertainment mode, browser mode, and the like.

Abstract: Securely joining a secure wireless communications network is described, for example, where a printer or other device is securely added to a home wireless network. In various embodiments, a temporary wireless network is established between a new joiner device and a second wireless communications device which is already a member of a secure home wireless network. In an example, the temporary wireless network is set up using a secret key known to the new joiner device and the second wireless communications device by virtue of physical proximity. In various examples, the secure, temporary wireless network is used to transfer credentials of the secure home network to the new joiner device which then joins the home network. In an example the temporary wireless network is cancelled once the new joiner device becomes a member of the secure home (or other) wireless network.

Abstract: Securely joining a secure wireless communications network is described, for example, where a printer or other device is securely added to a home wireless network. In various embodiments, a temporary wireless network is established between a new joiner device and a second wireless communications device which is already a member of a secure home wireless network. In an example, the temporary wireless network is set up using a secret key known to the new joiner device and the second wireless communications device by virtue of physical proximity. In various examples, the secure, temporary wireless network is used to transfer credentials of the secure home network to the new joiner device which then joins the home network. In an example the temporary wireless network is cancelled once the new joiner device becomes a member of the secure home (or other) wireless network.

Abstract: The claimed subject matter relates to an architecture that can scale a content feed in terms of the amount of content delivered in order to facilitate satisfactory experiences in connection with a social network. In particular, the architecture can utilize a content feed to disseminate content between members of a network community, generally relative to a particular social circle of a given user. The architecture can maintain a personal space for the user and display to the personal space content provided by a content feed. Content provided to the personal space (as well as that retrieved from the personal space) can be scaled based upon a variety of commitment characteristics associated with the social circle. In addition, the architecture can employ smart dispersal of content and can intelligently acquire additional content from the user or import suitable settings from disparate users.

Abstract: A “Placement Detector” enables handheld or mobile electronic devices such as phones, media players, tablets, etc., to infer their current position or placement. Placement inference is performed by evaluating one or more sensors associated with the device relative to one or more trained probabilistic models to infer device relative to a user. Example placement inferences include, but are not limited to, inferring whether the device is currently in a user's pocket, in a user's purse (or other carrying bag or backpack), in a closed area such as a drawer or box, in an open area such as on a table, indoors, outdoors, etc. These types of placement inferences facilitate a wide range of automated user-device interactions, including, but not limited to, placement-dependent notifications, placement-dependent responses to various inputs, prevention of inadvertent “pocket dialing,” prevention of inadvertent power cycling of devices, lost or misplaced device location assistance, etc.

Abstract: This patent application pertains to context-driven data sharing, and specifically to data sharing relating to a telephone call. One example can establish a telephone call between first and second computing devices. This example can also utilize the telephone call as at least part of a basis for temporarily adjusting a data sharing permission level on at least one of the first and second computing devices during the telephone call.