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Human Perception of Surprise: A User Study

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arxiv 1807.05906 v1 pith:I5QP3MVQ submitted 2018-07-16 cs.IR cs.AIcs.HC

Human Perception of Surprise: A User Study

Nalin Chhibber , Rohail Syed , Mengqiu Teng , Joslin Goh , Kevyn Collins-Thompson , Edith Law This is my paper
classification cs.IR cs.AIcs.HC
keywords surpriseuseralgorithmsapplicationsartificiallyastonishingattentionattract
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Understanding how to engage users is a critical question in many applications. Previous research has shown that unexpected or astonishing events can attract user attention, leading to positive outcomes such as engagement and learning. In this work, we investigate the similarity and differences in how people and algorithms rank the surprisingness of facts. Our crowdsourcing study, involving 106 participants, shows that computational models of surprise can be used to artificially induce surprise in humans.

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