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

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Information Systems and Neuroscience (NeuroIS 2020)

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 43))

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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.

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Author information

Authors and Affiliations

  1. National Sun Yat-Sen University, Kaohsiung, Taiwan

    Yu-feng Huang & Feng-yang Kuo

Authors
  1. Yu-feng Huang
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  2. Feng-yang Kuo
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Corresponding author

Correspondence to Yu-feng Huang .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, TX, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Austria

    René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, QC, Canada

    Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, GA, USA

    Adriane B. Randolph

  6. Department for Digital Business, University of Applied Sciences Upper Austria, Steyr, Austria

    Thomas Fischer

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Huang, Yf., Kuo, Fy. (2020). Behavior Regulation in Social Media: A Preliminary Analysis of Pupil Size Change. In: Davis, F.D., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A.B., Fischer, T. (eds) Information Systems and Neuroscience. NeuroIS 2020. Lecture Notes in Information Systems and Organisation, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-030-60073-0_7

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  • DOI: https://doi.org/10.1007/978-3-030-60073-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60072-3

  • Online ISBN: 978-3-030-60073-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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