Generating a recommendation to add a member to a receptivity cohort

摘要

A processor-implemented method, system, and/or computer program product generate a recommendation to add a member to a receptivity cohort. A receptivity cohort is made up of members who share a conduct attribute, which is a facial expression, body language, and/or social interaction of a person. The conduct attribute has been predetermined to be an indicator of a level of receptiveness to a proposed future change in a set of circumstances. Biometric sensor data, which describe the facial expression, body language and/or social interaction for a candidate member, are retrieved from a set of biometric sensors. The retrieved biometric sensor data for the candidate member is compared to the conduct attribute of members of the receptivity cohort. In response to the biometric sensor data for the candidate member matching the conduct attribute of members of the receptivity cohort, a recommendation is generated to add the candidate member to the receptivity cohort.

主权项

1. A processor-implemented method of generating a recommendation to add a member to a receptivity cohort, the processor-implemented method comprising:
defining a receptivity cohort, wherein each member of the receptivity cohort shares a conduct attribute, wherein the conduct attribute describes at least one of a facial expression, body language, and social interaction of a person, and wherein the conduct attribute has been predetermined to be an indicator of a level of receptiveness to a proposed future change in a set of circumstances; a processor analyzing the conduct attribute and event metadata to generate a receptivity score for the receptivity cohort, wherein event metadata describes the proposed future change in the set of circumstances, and wherein the receptivity score indicates a level of receptiveness of members of the receptivity cohort to the proposed future change in the set of circumstances; in response to determining that granular demographic information for members of the receptivity cohort is available, the processor processing the granular demographic information with the event metadata and conduct attribute to generate a weighted receptivity score for each member of the receptivity cohort, wherein the weighted receptivity score indicates a normalized level of receptivity of said each member to the proposed future change; the processor retrieving biometric sensor data from a set of biometric sensors, wherein the biometric sensor data describe said at least one of the facial expression, body language and social interaction for a candidate member of the receptivity cohort; the processor comparing the biometric sensor data for the candidate member to said conduct attribute of members of the receptivity cohort; and the processor, in response to the biometric sensor data for the candidate member matching the conduct attribute of members of the receptivity cohort, generating a recommendation to add the candidate member to the receptivity cohort.