SYSTEMS AND METHODS FOR SELF-LEARNING, CONTENT-AWARE AFFECT RECOGNITION
First Claim
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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; and
output or store the affective state of the user.
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Abstract
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.
43 Citations
24 Claims
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1. A system to determine an affective state of a user, the system comprising:
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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; and output or store the affective state of the user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer-implemented method of determining an affective state of a user, the method comprising:
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receiving information from one or more sensors; processing, on one or more computing devices, the information from the one or more sensors to detect a user behavior as the user consumes content or interacts with a machine; receiving content metadata indicating a context of the content provided to the user and a probability of the user experiencing at least one expected emotion as the user consumes the content or interacts with the machine; based on the context and the at least one expected emotion indicated in the content metadata, applying one or more rules to map the detected user behavior to an affective state of the user. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. At least one computer-readable storage medium having stored thereon instructions that, when executed by a processor, cause the processor to perform operations comprising:
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receiving information from one or more sensors; processing, on one or more computing devices, the information from the one or more sensors to detect a user behavior as the user consumes content or interacts with a machine; receiving content metadata indicating a context of the content provided to the user and a probability of the user experiencing at least one expected emotion as the user consumes the content or interacts with the machine; based on the context and the at least one expected emotion indicated in the content metadata, applying one or more rules to map the detected user behavior to an affective state of the user. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification