Modeling, recognizing, and explaining apparent personality from videos
Number of pages
SourceIEEE Transactions on Affective Computing, (2020)
14 februari 2020
Article / Letter to editor
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SW OZ DCC AI
SW OZ DCC CO
IEEE Transactions on Affective Computing
SubjectAction, intention, and motor control; Cognitive artificial intelligence
Explainability and interpretability are two critical aspects of decision support systems. Despite their importance, it is only recently that researchers are starting to explore these aspects. This paper provides an introduction to explainability and interpretability in the context of apparent personality recognition. To the best of our knowledge, this is the first effort in this direction. We describe a challenge we organized on explainability in first impressions analysis from video. We analyze in detail the newly introduced data set, evaluation protocol, proposed solutions and summarize the results of the challenge. We investigate the issue of bias in detail. Finally, derived from our study, we outline research opportunities that we foresee will be relevant in this area in the near future.
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