Modeling dynamics of suspense and surprise
- Zhiwei Li, Center for neural science, NYU, new york, New York, United States
- Neil Bramley, Psychology and Data Science, NYU, New York, New York, United States
- Todd Gureckis, New York University, New York, New York, United States
AbstractActivities such as watching a sports match and reading a novel often provoke suspense and surprise (S&S). Computationally, we hypothesize that these feelings derive from the dynamics of our beliefs. In our experiment, participants watch real videotaped volleyball games or play a card game, where their belief dynamics (e.g. chance of winning) can be affected by both the stimuli and background information (e.g. game rules and prior beliefs about the teams / the card deck). Following Ely et al (2015) we formalize instantaneous suspense as a function of expected variance in future belief, and surprise as related to the magnitude of belief changes. Through probabilistic model we generate point-by-point predictions of S&S. We find that ratings of S&S for the same games depend on experimentally manipulated in qualitative agreement with our model, but we also identify several situations where the model fails.
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