Abstract: A method, apparatus and computer program wherein the method includes: obtaining, from a detector, a detection of at least one bio-signal of a user of an apparatus; determining a mode of operation of the apparatus when the at least one bio-signal occurred; and correlating the at least one detected bio-signal of the user with the determined mode of operation in a bio-signal profile of the user of the apparatus.

Abstract: A method, apparatus and computer program are provided. The method comprises: performing a first detection of at least one bio-signal from at least one user; controlling a user output device to initiate a user alert, after performing the first detection of the at least one bio-signal; performing a second detection of the at least one bio-signal from the at least one user, after initiating the user alert; and processing the first detection of the at least one bio-signal and the second detection of the at least one bio-signal to determine whether one or more changes in the at least one bio-signal pass a significance test.

Abstract: A method, apparatus and computer program are provided. The method comprises: determining that an event has occurred; obtaining, from at least one detector, a detection of one or more bio-signals from a user; and processing the detection of the one or more bio-signals to decide whether to control at least one user output device to initiate a user alert, contemporaneously with the occurrence of the event, indicating that the event has occurred.

Abstract: An approach is provided for generating a relevant social graph. A social graph identifying people associated with a user is retrieved. A communication history from a device associated with the user is retrieved. Information regarding a respective occurrence of each identified person in the communication history is determined. A relevant social graph is generated based, at least in part, on the determined occurrence information.

Abstract: Disclosed is a method, a computer program product, and a device that are responsive to detected mental states of a user to perform selection processes to execute a task. The method includes providing a hierarchical multi-level decision tree structure comprised of internal nodes and leaf nodes, where the decision tree structure represents a task. The method further includes navigating, using information derived from detected mental states of the user, through levels of the decision tree structure to reach a leaf node to accomplish the task. The step of navigating includes selecting, using the information derived from the detected mental states of the user, between attribute values associated with internal nodes of the decision tree structure. As non-limiting examples, the device may be a communication device, and the task may be a name dialing or a command/control task.

Abstract: A method and system that identifies and presents information, which is common in various postings in an area, such as a neighborhood. If various geographically proximate postings contain the same salient word(s), the information is considered to be reliable and useful and it is presented to a user. The user is capable of viewing the postings in a form displayed over a map of an area. The user may view the posting information in different forms, and also perform searches for information and postings.

Abstract: Disclosed is a method, a computer program product, and a device that are responsive to detected mental states of a user to perform selection processes to execute a task. The method includes providing a hierarchical multi-level decision tree structure comprised of internal nodes and leaf nodes, where the decision tree structure represents a task. The method further includes navigating, using information derived from detected mental states of the user, through levels of the decision tree structure to reach a leaf node to accomplish the task. The step of navigating includes selecting, using the information derived from the detected mental states of the user, between attribute values associated with internal nodes of the decision tree structure. As non-limiting examples, the device may be a communication device, and the task may be a name dialing or a command/control task.