Abstract: A computer system interacts with a user with a behavioral state. An activity performed by an entity with a behavioral state is determined. A virtual character corresponding to the entity and performing the determined activity of the entity is generated and displayed. A mental state of the entity responsive to the virtual character is detected. In response to detection of a positive mental state of the entity, one or more natural language terms are provided to the entity corresponding to the activity performed by the virtual character. Embodiments of the present invention further include a method and program product for interacting with a user with a behavioral state in substantially the same manner described above.

Abstract: A computer system interacts with a user with a behavioral state. An activity performed by an entity with a behavioral state is determined. A virtual character corresponding to the entity and performing the determined activity of the entity is generated and displayed. A mental state of the entity responsive to the virtual character is detected. In response to detection of a positive mental state of the entity, one or more natural language terms are provided to the entity corresponding to the activity performed by the virtual character. Embodiments of the present invention further include a method and program product for interacting with a user with a behavioral state in substantially the same manner described above.

Abstract: Provided are systems, methods, and media for teaching generalization of an object. An example method includes obtaining a set of traits of an object recognized by a person in an input image, in which a subset of traits are traits fixated on by the person when recognizing the object in the input image. Executing a machine learning algorithm to generate a set of generalized images of the object. Each generalized image is generated with at least one trait of being modified, in which the set of generalized images are ordered in a sequence based on proximity of each of the generalized images to the input image. Presenting at least a first generalized image to the person in accordance with the sequence. Modifying the order of the generalized images in the sequence in response to detecting from feedback that the person does not recognize the object in the first generalized image.