When Human Coders (and Machines) Disagree on the Meaning of Facial Affect in Spontaneous Videos
This paper describes the challenges of getting ground truth affective labels for spontaneous video, and presents implications for systems such as virtual agents that have automated facial analysis capabilities. We first present a dataset from an intelligent tutoring application and describe the most...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Springer Berlin
2010
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| Online Access: | http://hdl.handle.net/1721.1/56633 https://orcid.org/0000-0002-5661-0022 |