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Human Perception of Surprise: A User Study
July 16, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Nalin Chhibber, Rohail Syed, Mengqiu Teng, Joslin Goh, Kevyn Collins-Thompson, Edith Law
arXiv ID
1807.05906
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.HC
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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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