SYSTEMS AND METHODS FOR SELF-LEARNING, CONTENT-AWARE AFFECT RECOGNITION

摘要

Systems and methods are disclosed for determining an affective state of a user. A user behavior characteristic is detected in response to content provided to the user. Content metadata indicates a context of the content provided to the user and a probability of the user experiencing at least one expected emotion in response to an interaction with the content. Based on the context and the at least one expected emotion indicated in the content metadata, one or more rules are applied to map the detected user behavior characteristic to an affective state of the user.

主权项

1. A system to determine an affective state of a user, the system comprising:
a behavior feature extraction module to process information from one or more sensors to detect a user behavior characteristic, the user behavior characteristic generated in response to content provided to the user; and an affective state recognition module to:
receive content metadata indicating a context of the content provided to the user and a probability of the user experiencing at least one expected emotion in response to an interaction with the content;based on the context and the at least one expected emotion indicated in the content metadata, apply one or more rules to map the detected user behavior characteristic to an affective state of the user; andoutput or store the affective state of the user.