Behavior Regulation in Social Media: A Preliminary Analysis of Pupil Size Change

Yu-feng Huang () and Feng-yang Kuo ()
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Yu-feng Huang: National Sun Yat-Sen University
Feng-yang Kuo: National Sun Yat-Sen University

A chapter in Information Systems and Neuroscience, 2020, pp 58-63 from Springer

Abstract: Abstract Social media users may regulate their behaviors to follow norms of their online communities. This regulation process, however, might be too transient to be captured using self-reports and therefore is suitable for a NeuroIS investigation. Previously, in an event-related potential (ERP) experiment designed to study this regulation process, Huang, Kuo, and Lin [1] found that this regulation process could be reflected in an ERN-like ERP, and the ERP’s magnitude is correlated with people’s internet privacy concern. In this work-in-progress we seek to use eye-tracking to replicate their findings. Here we report our current results of pupil size anslyses, which so far are consistent with the previous ERP findings.

Keywords: Pupil size; Eye-tracking; Behavior regulation; Social media (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/978-3-030-60073-0_7

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