COACHING A PARTICIPANT IN A CONVERSATION
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Accused Products
Abstract
Embodiments herein include a NLP application used to coach a participant who violates a social norm during a conversation. For example, the NLP application can evaluate the textual representation of the conversation to determine if the participant is exhibiting a characteristic of autism or other medical disorder which violates a social norm, and if so, inform the participant. Once a characteristic of autism is identified, a coaching application may output text that informs the participant what particular characteristic he is exhibiting—e.g., the participant is ignoring an attempt by another participant to change the topic of the conversation. In addition to providing notice, in one embodiment, the coaching application suggests a corrective action to the participant. For example, if the participant fails to provide an appropriate response to an emotional statement, the coaching action may suggest a sympathetic statement.
21 Citations
20 Claims
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1-8. -8. (canceled)
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9. A system, comprising:
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a computer processor; and a memory containing a program that, when executed on the computer processor, performs an operation for processing data, comprising; receiving information from a diagnosis system indicating that a contribution to the conversation made by the participant exhibits a characteristic of a medical disorder based on evaluating text of the conversation using a ML model; and transmitting a notice to the participant indicating the contribution to the conversation by the participant is characteristic of the medical disorder. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A computer program product for providing feedback to a participant in a conversation, the computer program product comprising:
a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by one or more computer processors to; receive information from a diagnosis system indicating that a contribution to the conversation made by the participant exhibits a characteristic of a medical disorder based on evaluating text of the conversation using a machine learning (ML) model; transmit a notice to the participant indicating the contribution to the conversation by the participant is characteristic of the medical disorder. - View Dependent Claims (16, 17, 18, 19, 20)
Specification