Measuring Appeal in Human Computer Interaction

A Cognitive Neuroscience-Based Approach

Tillmann Neben, Bo Sophia Xiao, Eric T. Lim, Chee-Wee Tan, Armin Heinzl

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    Resumé

    Appeal refers to the positive emotional response to an aesthetic, beautiful, or in another way desirable stimulus. It is a recurring topic in information systems (IS) research, and is important for understanding many phenomena of user behavior and decision-making. While past IS research on appeal has relied predominantly on subjective self-rating scales, this research-in-progress paper proposes complementary objective measurement for appeal. We start by reviewing the linkages between the theoretical constructs related to appeal and their neurophysiological correlates. We then review past approaches to measuring appeal and discuss their characteristics. Finally, we arrive at a recommendation that builds on a combination of psychophysiology (EDA, facial EMG) and brain imaging (fNIRS).
    OriginalsprogEngelsk
    TitelInformation Systems and Neuroscience : Gmunden Retreat on NeuroIS 2015
    RedaktørerFred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph
    Antal sider9
    Udgivelses stedCham
    ForlagSpringer Science+Business Media
    Publikationsdato2015
    Sider151-159
    ISBN (Trykt)9783319187013
    ISBN (Elektronisk)9783319187020
    DOI
    StatusUdgivet - 2015
    BegivenhedGmunden Retreat on NeuroIS 2015 - Gmunden Retreat, Gmunden, Østrig
    Varighed: 1 jun. 20153 jun. 2015
    Konferencens nummer: 7
    http://www.neurois.org/index.php?option=com_content&task=view&id=93&Itemid=110

    Konference

    KonferenceGmunden Retreat on NeuroIS 2015
    Nummer7
    LokationGmunden Retreat
    LandØstrig
    ByGmunden
    Periode01/06/201503/06/2015
    Internetadresse
    NavnLecture Notes in Information Systems and Organisation
    Vol/bind10
    ISSN2195-4968

    Citer dette

    Neben, T., Xiao, B. S., Lim, E. T., Tan, C-W., & Heinzl, A. (2015). Measuring Appeal in Human Computer Interaction: A Cognitive Neuroscience-Based Approach. I F. D. Davis, R. Riedl, J. vom Brocke, P-M. Léger, & A. B. Randolph (red.), Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2015 (s. 151-159). Cham: Springer Science+Business Media. Lecture Notes in Information Systems and Organisation, Bind. 10 https://doi.org/10.1007/978-3-319-18702-0_20
    Neben, Tillmann ; Xiao, Bo Sophia ; Lim, Eric T. ; Tan, Chee-Wee ; Heinzl, Armin. / Measuring Appeal in Human Computer Interaction : A Cognitive Neuroscience-Based Approach. Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2015. red. / Fred D. Davis ; René Riedl ; Jan vom Brocke ; Pierre-Majorique Léger ; Adriane B. Randolph. Cham : Springer Science+Business Media, 2015. s. 151-159 (Lecture Notes in Information Systems and Organisation, Bind 10).
    @inproceedings{2314e26a547745909fb0f341149712d1,
    title = "Measuring Appeal in Human Computer Interaction: A Cognitive Neuroscience-Based Approach",
    abstract = "Appeal refers to the positive emotional response to an aesthetic, beautiful, or in another way desirable stimulus. It is a recurring topic in information systems (IS) research, and is important for understanding many phenomena of user behavior and decision-making. While past IS research on appeal has relied predominantly on subjective self-rating scales, this research-in-progress paper proposes complementary objective measurement for appeal. We start by reviewing the linkages between the theoretical constructs related to appeal and their neurophysiological correlates. We then review past approaches to measuring appeal and discuss their characteristics. Finally, we arrive at a recommendation that builds on a combination of psychophysiology (EDA, facial EMG) and brain imaging (fNIRS).",
    author = "Tillmann Neben and Xiao, {Bo Sophia} and Lim, {Eric T.} and Chee-Wee Tan and Armin Heinzl",
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    Neben, T, Xiao, BS, Lim, ET, Tan, C-W & Heinzl, A 2015, Measuring Appeal in Human Computer Interaction: A Cognitive Neuroscience-Based Approach. i FD Davis, R Riedl, J vom Brocke, P-M Léger & AB Randolph (red), Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2015. Springer Science+Business Media, Cham, Lecture Notes in Information Systems and Organisation, bind 10, s. 151-159, Gmunden Retreat on NeuroIS 2015, Gmunden, Østrig, 01/06/2015. https://doi.org/10.1007/978-3-319-18702-0_20

    Measuring Appeal in Human Computer Interaction : A Cognitive Neuroscience-Based Approach. / Neben, Tillmann; Xiao, Bo Sophia; Lim, Eric T.; Tan, Chee-Wee; Heinzl, Armin.

    Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2015. red. / Fred D. Davis; René Riedl; Jan vom Brocke; Pierre-Majorique Léger; Adriane B. Randolph. Cham : Springer Science+Business Media, 2015. s. 151-159 (Lecture Notes in Information Systems and Organisation, Bind 10).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    TY - GEN

    T1 - Measuring Appeal in Human Computer Interaction

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    AU - Neben, Tillmann

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    AU - Tan, Chee-Wee

    AU - Heinzl, Armin

    PY - 2015

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    N2 - Appeal refers to the positive emotional response to an aesthetic, beautiful, or in another way desirable stimulus. It is a recurring topic in information systems (IS) research, and is important for understanding many phenomena of user behavior and decision-making. While past IS research on appeal has relied predominantly on subjective self-rating scales, this research-in-progress paper proposes complementary objective measurement for appeal. We start by reviewing the linkages between the theoretical constructs related to appeal and their neurophysiological correlates. We then review past approaches to measuring appeal and discuss their characteristics. Finally, we arrive at a recommendation that builds on a combination of psychophysiology (EDA, facial EMG) and brain imaging (fNIRS).

    AB - Appeal refers to the positive emotional response to an aesthetic, beautiful, or in another way desirable stimulus. It is a recurring topic in information systems (IS) research, and is important for understanding many phenomena of user behavior and decision-making. While past IS research on appeal has relied predominantly on subjective self-rating scales, this research-in-progress paper proposes complementary objective measurement for appeal. We start by reviewing the linkages between the theoretical constructs related to appeal and their neurophysiological correlates. We then review past approaches to measuring appeal and discuss their characteristics. Finally, we arrive at a recommendation that builds on a combination of psychophysiology (EDA, facial EMG) and brain imaging (fNIRS).

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    A2 - Riedl, René

    A2 - vom Brocke, Jan

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    A2 - Randolph, Adriane B.

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    Neben T, Xiao BS, Lim ET, Tan C-W, Heinzl A. Measuring Appeal in Human Computer Interaction: A Cognitive Neuroscience-Based Approach. I Davis FD, Riedl R, vom Brocke J, Léger P-M, Randolph AB, red., Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2015. Cham: Springer Science+Business Media. 2015. s. 151-159. (Lecture Notes in Information Systems and Organisation, Bind 10). https://doi.org/10.1007/978-3-319-18702-0_20