Abstract: A cognitive state prediction method, system, and non-transitory computer readable medium, include providing an initial label associated with an electronic message, matching the initial label with a sender and data of the sender at a time of the electronic message, and predicting a second label associated with a second electronic message from the sender according to an analysis that compares a second data of the sender at a second time of the second electronic message with the data of the sender at the time of the electronic message.

Abstract: A cognitive state prediction method, system, and non-transitory computer readable medium, include a receiving circuit configured to receive an electronic message sent by a first user, a labeling circuit configured to query a second user to associate a label with the electronic message based on a cognitive state of the first user, and a correlating circuit configured to correlate the label with user data at a time of sending the electronic message, the user data corresponding to data output by at least one of the wearable and an external sensor in a database.

Abstract: Embodiments of the present invention provide systems and methods for performing analysis validity ranking of information. The method utilizes technology such as MRI, CT, PET, SPECT, EEG, and MEG to collect a user's cognitive event, to analyze the user's cognitive event via analytics, and to correlate the user's cognitive event with a ranking. This correlated data is sent to a database amenable to future inquiries on cognitive events of the user. The search results are based on the level of validity for retrieving accurate search results from the database at a future point in time. A validity and the rank of the data deriving from the user's cognitive event are evaluated based on the brainwaves and the location of the data deriving from the user's cognitive event. The data with a higher validity is ranked higher and tagged accordingly.

Abstract: A computer-implemented method of evaluating information confidence based on a cognitive trait of a user, is provided, the method including receiving information from a user as an answer to a question in an active learning question and answer system; monitoring a user for a cognitive behavior indicator when the user is providing the information; determining a cognitive trait based on the cognitive behavior indicator; determining a quantified level of information confidence for the information based on the cognitive trait; and annotating the information with the cognitive trait and the quantified level of information confidence. A system and a computer program product for evaluating information confidence based on a cognitive behavior of a user are also provided.

Abstract: A cognitive state prediction method, system, and non-transitory computer readable medium, include a receiving circuit configured to receive an electronic message sent by a first user, a labeling circuit configured to query a second user to associate a label with the electronic message based on a cognitive state of the first user, and a correlating circuit configured to correlate the label with user data at a time of sending the electronic message, the user data corresponding to data output by at least one of the wearable and an external sensor in a database.

Abstract: Embodiments of the present invention provide systems and methods for performing analysis validity ranking of information. The method utilizes technology such as MRI, CT, PET, SPECT, EEG, and MEG to collect a user's cognitive event, to analyze the user's cognitive event via analytics, and to correlate the user's cognitive event with a ranking. This correlated data is sent to a database amenable to future inquiries on cognitive events of the user. The search results are based on the level of validity for retrieving accurate search results from the database at a future point in time. A validity and the rank of the data deriving from the user's cognitive event are evaluated based on the brainwaves and the location of the data deriving from the user's cognitive event. The data with a higher validity is ranked higher and tagged accordingly.

Abstract: A computer-implemented method of evaluating information confidence based on a cognitive trait of a user, is provided, the method including receiving information from a user as an answer to a question in an active learning question and answer system; monitoring a user for a cognitive behavior indicator when the user is providing the information; determining a cognitive trait based on the cognitive behavior indicator; determining a quantified level of information confidence for the information based on the cognitive trait; and annotating the information with the cognitive trait and the quantified level of information confidence. A system and a computer program product for evaluating information confidence based on a cognitive behavior of a user are also provided.