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The positive–negative–competence (PNC) model of psychological responses to representations of robots

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  • Dario Krpan

    (London School of Economics and Political Science)

  • Jonathan E. Booth

    (London School of Economics and Political Science)

  • Andreea Damien

    (London School of Economics and Political Science)

Abstract

Robots are becoming an increasingly prominent part of society. Despite their growing importance, there exists no overarching model that synthesizes people’s psychological reactions to robots and identifies what factors shape them. To address this, we created a taxonomy of affective, cognitive and behavioural processes in response to a comprehensive stimulus sample depicting robots from 28 domains of human activity (for example, education, hospitality and industry) and examined its individual difference predictors. Across seven studies that tested 9,274 UK and US participants recruited via online panels, we used a data-driven approach combining qualitative and quantitative techniques to develop the positive–negative–competence model, which categorizes all psychological processes in response to the stimulus sample into three dimensions: positive, negative and competence-related. We also established the main individual difference predictors of these dimensions and examined the mechanisms for each predictor. Overall, this research provides an in-depth understanding of psychological functioning regarding representations of robots.

Suggested Citation

  • Dario Krpan & Jonathan E. Booth & Andreea Damien, 2023. "The positive–negative–competence (PNC) model of psychological responses to representations of robots," Nature Human Behaviour, Nature, vol. 7(11), pages 1933-1954, November.
    • Handle: RePEc:nat:nathum:v:7:y:2023:i:11:d:10.1038_s41562-023-01705-7
    DOI: 10.1038/s41562-023-01705-7
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    1. Struyf, Anja & Hubert, Mia & Rousseeuw, Peter J., 1997. "Integrating robust clustering techniques in S-PLUS," Computational Statistics & Data Analysis, Elsevier, vol. 26(1), pages 17-37, November.
    2. Savela, Nina & Oksanen, Atte & Pellert, Max & Garcia, David, 2021. "Emotional reactions to robot colleagues in a role-playing experiment," International Journal of Information Management, Elsevier, vol. 60(C).
    3. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    4. Brondi, Sonia & Pivetti, Monica & Di Battista, Silvia & Sarrica, Mauro, 2021. "What do we expect from robots? Social representations, attitudes and evaluations of robots in daily life," Technology in Society, Elsevier, vol. 66(C).
    5. Armin Granulo & Christoph Fuchs & Stefano Puntoni, 2019. "Psychological reactions to human versus robotic job replacement," Nature Human Behaviour, Nature, vol. 3(10), pages 1062-1069, October.
    6. Mojtaba Vaismoradi & Hannele Turunen & Terese Bondas, 2013. "Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study," Nursing & Health Sciences, John Wiley & Sons, vol. 15(3), pages 398-405, September.
    7. Zdeněk Šulc & Hana Řezanková, 2019. "Comparison of Similarity Measures for Categorical Data in Hierarchical Clustering," Journal of Classification, Springer;The Classification Society, vol. 36(1), pages 58-72, April.
    8. Dorothy Bishop, 2019. "Rein in the four horsemen of irreproducibility," Nature, Nature, vol. 568(7753), pages 435-435, April.
    9. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    10. Schweinsberg, Martin & Feldman, Michael & Staub, Nicola & van den Akker, Olmo R. & van Aert, Robbie C.M. & van Assen, Marcel A.L.M. & Liu, Yang & Althoff, Tim & Heer, Jeffrey & Kale, Alex & Mohamed, Z, 2021. "Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 165(C), pages 228-249.
    11. Greg Guest & Emily Namey & Mario Chen, 2020. "A simple method to assess and report thematic saturation in qualitative research," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-17, May.
    12. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
    13. Hennink, Monique & Kaiser, Bonnie N., 2022. "Sample sizes for saturation in qualitative research: A systematic review of empirical tests," Social Science & Medicine, Elsevier, vol. 292(C).
    14. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    15. Rotem Botvinik-Nezer & Felix Holzmeister & Colin F. Camerer & Anna Dreber & Juergen Huber & Magnus Johannesson & Michael Kirchler & Roni Iwanir & Jeanette A. Mumford & R. Alison Adcock & Paolo Avesani, 2020. "Variability in the analysis of a single neuroimaging dataset by many teams," Nature, Nature, vol. 582(7810), pages 84-88, June.
    16. Lang, Frieder R. & John, Dennis & Lüdtke, Oliver & Schupp, Jürgen & Wagner, Gert G., 2011. "Short Assessment of the Big Five: Robust Across Survey Methods Except Telephone Interviewing," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(2), pages 548-567.
    17. Markus Blut & Cheng Wang & Nancy V. Wünderlich & Christian Brock, 2021. "Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 632-658, July.
    18. Joseph Henrich & Steven J. Heine & Ara Norenzayan, 2010. "Most people are not WEIRD," Nature, Nature, vol. 466(7302), pages 29-29, July.
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