Sensors Know Which Photos Are Memorable

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The goal of this study is to determine if physiological signals are salient in the detection of memorable personal photos. We begin by collecting physiological sensor data as well as memorability and emotion ratings for photos. We then build a mixed model to evaluate the predictive power of physiological variables on memorability and emotion by examining whether or not the photographer's data is useful for predicting the ratings of the photographer or the ratings of the subjects in the photos. Our results suggest that heart rate and GSR (galvanic skin response) data are the major predictors of memorability for photographers, and that the sensor signals are not particularly useful for predicting memorability ratings of subjects in the photos.
Publisher
ACM Special Interest Group on Computer-Human Interaction (SIGCHI)
Issue Date
2017-05-06
Language
English
Citation

2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017, pp.2706 - 2713

DOI
10.1145/3027063.3053198
URI
http://hdl.handle.net/10203/224295
Appears in Collection
ID-Conference Papers(학술회의논문)IE-Conference Papers(학술회의논문)
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