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Where NeuroIS Helps to Understand Human Processing of Text: A Taxonomy for Research Questions Based on Textual Data

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Information Systems and Neuroscience (NeuroIS 2021)

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 52))

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Abstract

Several research questions from information systems (IS) are based on textual data, such as product reviews and fake news. In this paper, we investigate in which areas NeuroIS is best suited to better understand human processing of text and subsequent human behavior or decision making. To evaluate this question, we propose a taxonomy to distinguish these research questions depending on how users’ corresponding response is formed. We first review all publications about textual data in the IS basket journals from 2010–2020. Then, we distinguish text-based research questions along two dimensions, namely, if a user’s response is influenced by subjectivity and if additional information is required to make an objective assessment. We find that NeuroIS research on textual data is still in its infancy. Existing NeuroIS studies focus on texts, where users’ responses are subject to a higher need for additional data, which is not part of the text.

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Authors and Affiliations

  1. University of Freiburg, Freiburg, Germany

    Florian Popp, Bernhard Lutz & Dirk Neumann

Authors
  1. Florian Popp
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  2. Bernhard Lutz
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  3. Dirk Neumann
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Editor information

Editors and Affiliations

  1. Texas Tech University, Lubbock, TX, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria and University of Linz, Steyr/Linz, Austria

    René Riedl

  3. University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. HEC Montréal, Montréal, QC, Canada

    Pierre-Majorique Léger

  5. Kennesaw State University, Kennesaw, GA, USA

    Adriane B. Randolph

  6. Graz University of Technology, Graz, Austria

    Gernot Müller-Putz

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Popp, F., Lutz, B., Neumann, D. (2021). Where NeuroIS Helps to Understand Human Processing of Text: A Taxonomy for Research Questions Based on Textual Data. In: Davis, F.D., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A.B., Müller-Putz, G. (eds) Information Systems and Neuroscience. NeuroIS 2021. Lecture Notes in Information Systems and Organisation, vol 52. Springer, Cham. https://doi.org/10.1007/978-3-030-88900-5_1

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  • DOI: https://doi.org/10.1007/978-3-030-88900-5_1

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