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Compensating Qualitative Rating Distortion of User Experience Evaluation Based on Prospect Theory

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  • Min Chul Lee

    (Department of Safety Engineering, Incheon National University, Academy-ro 119, Incheon 22012, Korea)

  • Jaehyun Park

    (Department of Industrial and Management Engineering, Incheon National University, Academy-ro 119, Incheon 22012, Korea)

Abstract

Psychophysical assessment may be affected by cognitive distortion. Although the theory was originally developed to revise decision making in uncertain situations, prospect theory can be applied to psychophysical measurements, which was verified in a previous preliminary study. Two case studies were used to validate the utilization of prospect theory in psychophysical measurements. Affective satisfaction dimensions were rated by participants for an experimental device using a 0–100 scale. Performance of affective satisfaction models increased with the application of prospect theory-based compensation. Hundreds of participants evaluated the user value of their own devices via an online questionnaire. Although model fit performance increased slightly with transformed data, more case studies are needed to investigate the utility of prospect theory on user value or on a range of target constructs. The application of prospect theory in various situations of psychophysical measurement can be expected to improve and compensate for measurement results.

Suggested Citation

  • Min Chul Lee & Jaehyun Park, 2019. "Compensating Qualitative Rating Distortion of User Experience Evaluation Based on Prospect Theory," Sustainability, MDPI, vol. 11(23), pages 1-12, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6815-:d:292817
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Harry Markowitz, 1952. "The Utility of Wealth," Journal of Political Economy, University of Chicago Press, vol. 60(2), pages 151-151.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
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