Abstract: A mechanism is provided in a data processing system comprising a processor and a memory. The memory comprises instructions which are executed by the processor to cause the processor to be specifically configured to implement a recognizer module for detecting user input in a cognitive environment. The recognizer module receives sensor signals from at least one wearable device being worn by a user. The recognizer module analyzes the sensor signals using a machine learning model to determine at least one user input indicator describing user input activity of the user. The recognizer module communicates the at least one user input indicator to a cognitive system executing within the cognitive environment. The cognitive system performs at least one cognitive action based on the at least one user input indicator.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory. The memory comprises instructions which are executed by the processor to cause the processor to be specifically configured to implement a recognizer module for detecting user input in a cognitive environment. The recognizer module receives sensor signals from at least one wearable device being worn by a user. The recognizer module analyzes the sensor signals using a machine learning model to determine at least one user input indicator describing user input activity of the user. The recognizer module communicates the at least one user input indicator to a cognitive system executing within the cognitive environment. The cognitive system performs at least one cognitive action based on the at least one user input indicator.

Abstract: A computer-implemented method for generating an automated summary of a document based on physiological data annotation includes receiving a textual transcript, by a computer. Physiological data is received from one or more devices. Passages of the textual transcript are scored based on received physiological data. A summary of the textual transcript is automatically created, in response to said scoring passages of the textual transcript. Other embodiments include a system and a computer program product.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory. The memory comprises instructions which are executed by the processor to cause the processor to be specifically configured to implement a recognizer module for detecting user input in a cognitive environment. The recognizer module receives sensor signals from at least one wearable device being worn by a user. The recognizer module analyzes the sensor signals using a machine learning model to determine at least one user input indicator describing user input activity of the user. The recognizer module communicates the at least one user input indicator to a cognitive system executing within the cognitive environment. The cognitive system performs at least one cognitive action based on the at least one user input indicator.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory wherein the memory comprises instructions which are executed by the processor to cause the processor to be specifically configured to implement a recognizer module for detecting user input. The recognizer module receives sensor signals from at least one wearable device being worn by a user. The recognizer module analyzes the sensor signals using a machine learning model to determine at least one user input indicator describing user input activity of the user. The recognizer module outputs the at least one user input indicator.

Abstract: Embodiments of the invention are directed to a method for determining a pseudo location of a user. The method includes collecting, by a processing device, ultraviolet (UV) sensor data from a UV sensor of a user device of the user. The method further includes analyzing, by the processing device, the UV sensor data by comparing the UV sensor data to a UV profile for a geographic area. The method further includes determining, by the processing device, the pseudo location of the user based at least in part on the UV sensor data and the UV profile.

Abstract: Embodiments of the invention are directed to a method for determining a pseudo location of a user. The method includes collecting, by a processing device, ultraviolet (UV) sensor data from a UV sensor of a user device of the user. The method further includes analyzing, by the processing device, the UV sensor data by comparing the UV sensor data to a UV profile for a geographic area. The method further includes determining, by the processing device, the pseudo location of the user based at least in part on the UV sensor data and the UV profile.

Abstract: A computer-implemented method for generating an automated summary of a document based on physiological data annotation includes receiving a textual transcript, by a computer. Physiological data is received from one or more devices. Passages of the textual transcript are scored based on received physiological data. A summary of the textual transcript is automatically created, in response to said scoring passages of the textual transcript. Other embodiments include a system and a computer program product.