Abstract
We describe an empirical study comparing the accuracy of competing computational models of emotion in predicting human emotional responses in naturalistic emotion-eliciting situations. The results find clear differences in models' ability to forecast human emotional responses, and provide guidance on how to develop more accurate models of human emotion.
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