Abstract: A method and associated system for processing content, including document, received from a search of information. A subject of each received document is determined. A contributor who is associated with, and is not an author of, each respective document is determined. Each contributor is queried as to a veracity of each respective document, after which a communication from each contributor verifying the veracity of each respective document is received. An education type of an author of each respective document is classified as being formal education, self-taught, or experience as indicative of an expertise level of the author of each respective document. A plurality of credentials of each contributor is received and confirmed. Prior to the subject of each received document having been determined, signatures are published to the Internet. The signatures include signed content of each respective document signed by the contributor associated with each respective document.

Abstract: Embodiments of the present disclosure relate to augmented reality (AR) safety enhancement. In embodiments, an eye-gaze time indicating a period in which a user using an AR application is viewing a screen of a mobile device running the AR application can be determined. The eye-gaze time can then be compared to an eye-gaze threshold. In response to a determination that the eye-gaze time exceeds the eye-gaze threshold, an alert can be issued to the mobile device running the AR application. In embodiments, a set of proximity data can be received. The set of proximity data can be analyzed to determine a number of nearby devices. A determination can be made whether the number of nearby devices exceeds a safety threshold. When a determination is made that the number of nearby devices exceeds the safety threshold, an alert can be issued to a device having a running AR application.

Abstract: Embodiments of the present disclosure relate to augmented reality (AR) safety enhancement. In embodiments, an eye-gaze time indicating a period in which a user using an AR application is viewing a screen of a mobile device running the AR application can be determined. The eye-gaze time can then be compared to an eye-gaze threshold. In response to a determination that the eye-gaze time exceeds the eye-gaze threshold, an alert can be issued to the mobile device running the AR application. In embodiments, a set of proximity data can be received. The set of proximity data can be analyzed to determine a number of nearby devices. A determination can be made whether the number of nearby devices exceeds a safety threshold. When a determination is made that the number of nearby devices exceeds the safety threshold, an alert can be issued to a device having a running AR application.

Abstract: An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions include the user visiting online forums. The corrective actions cause a resolution of an instance of an error condition described in the error message and which specifies an error in an operation of a software application. Based on the monitored corrective actions, sources of information accessed by the user to resolve the error condition instance are determined. The sources include online forums visited by the user. After resolution of the error condition instance, another instance of the same error condition is detected, and in response, the error message is augmented with a summary of the sources including the online forums and/or hyperlinks that access the sources including the online forums. The augmented error message is presented to the user.

Abstract: A method and associated system for processing content, including document, received from a search of information. A subject of each received document is determined. A contributor who is associated with, and is not an author of, each respective document is determined. Each contributor is queried as to a veracity of each respective document, after which a communication from each contributor verifying the veracity of each respective document is received. An education type of an author of each respective document is classified as being formal education, self-taught, or experience as indicative of an expertise level of the author of each respective document. A plurality of credentials of each contributor is received and confirmed. Prior to the subject of each received document having been determined, signatures are published to the Internet. The signatures include signed content of each respective document signed by the contributor associated with each respective document.

Abstract: An approach is provided for personalizing an error message for a user. A modified help system monitors interactions with the help system and includes instructions about error conditions. The instructions are in formats that match four learning styles indicating a preference for visual input, spoken verbal input, written verbal input, and a combination of visual and verbal input. Selections of content to resolve error conditions and types of interactions are recorded. Learning format, learning type, interactivity level, interactivity type, and semantic density of the selected content are determined. A learning style model is generated. Based on the model, the learning style of the user is determined to be one of the four learning styles. A predetermined error message describing a detected error condition is retrieved. The error message is augmented with an instruction in a format that matches the learning style of the user and is presented to the user.

Abstract: A method and associated system for filtering content received from a search of information. Documents are received from the search. The search is based on a search request received from a requester. A subject of each received document is determined. A contributor associated with each document received as a result of the search is determined. Credentials of each contributor are received. For each received document, a determination is made of (i) a credential score for each credential of the contributor with respect to the subject of the document and (ii) a ranking score of the contributor on the subject of the document. The ranking score is determined based on the credential scores. The received documents are filtered, by using the ranking scores, to remove at least one document from the received documents, resulting in a set of remaining documents. The set of remaining documents are returned to the requester.

Abstract: An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions include the user visiting online forums. The corrective actions cause a resolution of an instance of an error condition described in the error message and which specifies an error in an operation of a software application. Based on the monitored corrective actions, sources of information accessed by the user to resolve the error condition instance are determined. The sources include online forums visited by the user. After resolution of the error condition instance, another instance of the same error condition is detected, and in response, the error message is augmented with a summary of the sources including the online forums and/or hyperlinks that access the sources including the online forums. The augmented error message is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions cause a resolution of an instance of a problem within a computer system. Based on the monitored corrective actions, sources of information accessed by the user to resolve the instance of the problem are determined. After resolution of the instance of the problem, another instance of the same problem is detected. In response to detecting the other instance of the problem, the error message is augmented with a summary of the sources of information and/or hyperlinks that access the sources of information. The augmented error message is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. A modified help system monitors interactions with the help system and includes instructions about error conditions. The instructions are in formats that match four learning styles indicating a preference for visual input, spoken verbal input, written verbal input, and a combination of visual and verbal input. Selections of content to resolve error conditions and types of interactions are recorded. Learning format, learning type, interactivity level, interactivity type, and semantic density of the selected content are determined. A learning style model is generated. Based on the model, the learning style of the user is determined to be one of the four learning styles. A predetermined error message describing a detected error condition is retrieved. The error message is augmented with an instruction in a format that matches the learning style of the user and is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. The usage of help content by the user to resolve error condition(s) is monitored. Attributes of the usage are determined. A learning style of the user is determined based on the attributes. An error condition is detected. The error message is augmented (i.e., personalized) with a communication and/or hyperlink that is compatible with the learning style of the user, and that is configured to assist the user with resolving the detected error condition. The augmented error message is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions cause a resolution of an instance of a problem within a computer system. Based on the monitored corrective actions, sources of information accessed by the user to resolve the instance of the problem are determined. After resolution of the instance of the problem, another instance of the same problem is detected. In response to detecting the other instance of the problem, the error message is augmented with a summary of the sources of information and/or hyperlinks that access the sources of information. The augmented error message is presented to the user.

Abstract: An approach is provided for personalizing an error message for a user. The usage of help content by the user to resolve error condition(s) is monitored. Attributes of the usage are determined. A learning style of the user is determined based on the attributes. An error condition is detected. The error message is augmented (i.e., personalized) with a communication and/or hyperlink that is compatible with the learning style of the user, and that is configured to assist the user with resolving the detected error condition. The augmented error message is presented to the user.

Abstract: A method and system for correlating events with social media is provided. The method includes retrieving from a social network, social network data associated with users of the social network. The social network data is associated with event data associated with a user of the users. Temporary actions associated with a social network account of the user are enabled and a notification is transmitted to a group of users. In response, confirmation data associated with enabling the temporary actions is received from the group of users and permanent actions associated with the temporary actions are enabled.

Abstract: A method and associated system for filtering content received from a search of information. Documents are received from the search. The search is based on a search request received from a requester. A subject of each received document is determined. A contributor associated with each document received as a result of the search is determined. Credentials of each contributor are received. For each received document, a determination is made of (i) a credential score for each credential of the contributor with respect to the subject of the document and (ii) a ranking score of the contributor on the subject of the document. The ranking score is determined based on the credential scores. The received documents are filtered, by using the ranking scores, to remove at least one document from the received documents, resulting in a set of remaining documents. The set of remaining documents are returned to the requester.

Abstract: Generally methods for titling segments of recorded audio data are disclosed herein. An input from a voice activation module, a push button input or another user interface can provide a stimulus for a system or device to record title information. The title information can be received as an utterance, converted to text, and linked to a segment or body of recorded audio. A speech to text converter can perform the conversion from audio to text and the text can be displayed to a user. Then, the system can request and accept a confirmation from the user that the title information reflects a user's desires. In a recording retrieval mode, the system can display a plurality of titles with textual characters that represent a lingual translation of the title to the user and prompt the user for a user selection of a title. After such a selection is made, the recorded audio can be retrieved from memory and played back to the user over speakers or headphones.

Abstract: Methods, systems, and media to improve polling accuracy in RFID systems are disclosed. Embodiments comprise receiving information from one or more tags by a tag reader, comparing the information from the tags to other information, and adding the tag to an inventory if the tag does not exist in the other information. While some embodiments compare the tag information from the tags to baseline inventories for other areas, some embodiments compare it to current inventories for the other areas or compare it to a combination of both inventories. Some embodiments involve polling RFID tags in storage containers. Other embodiments involve machine-accessible mediums with instructions to receive information from the tag reader, analyze the information with baseline and current inventories of other areas, and store identification information for the tag in a current inventory database if the information is absent from the baseline and current inventories.

Abstract: Various aspects of the invention provide a method, apparatus, and software for selecting interconnectivity rules for a computer network environment and visualization on a display of a data processing system interconnectivity rules in an auto provisioning environment, including: selecting a network environment specification having characteristics describing the environment, the characteristics including: number of network security tiers, firewalls, and other network constraints; displaying a graphical representation of the selected network environment, including security tiers, and proposed firewalls, to a user on the display; selecting network objects for the selected network environment, the network objects being selected from a group of objects including: operating systems and other software applications having predefined or configurable characteristics including interconnectivity rules, and firewall rules; populating the displayed network environment with the selected objects; determining network interconn

Abstract: Methods, systems, and media to improve polling accuracy in RFID systems are disclosed. Embodiments comprise receiving information from one or more tags by a tag reader, comparing the information from the tags to other information, and adding the tag to an inventory if the tag does not exist in the other information. While some embodiments compare the tag information from the tags to baseline inventories for other areas, some embodiments compare it to current inventories for the other areas or compare it to a combination of both inventories. Some embodiments involve polling RFID tags in storage containers. Other embodiments involve machine-accessible mediums with instructions to receive information from the tag reader, analyze the information with baseline and current inventories of other areas, and store identification information for the tag in a current inventory database if the information is absent from the baseline and current inventories.

Abstract: A method to improve polling accuracy in RFID systems is disclosed. Embodiments comprise receiving information from one or more tags by a tag reader, comparing the information from the tags to other information, and adding the tag to an inventory if the tag does not exist in the other information. While some embodiments compare the tag information from the tags to baseline inventories for other areas, some embodiments compare it to current inventories for the other areas or compare it to a combination of both inventories. Some embodiments involve polling RFID tags in storage containers.