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Microexpressions in digital humans: perceived affect, sincerity, and trustworthiness

Author

Listed:
  • Aliya Tastemirova

    (University of Liechtenstein)

  • Johannes Schneider

    (University of Liechtenstein)

  • Leona Chandra Kruse

    (University of Liechtenstein)

  • Simon Heinzle

    (University of Liechtenstein)

  • Jan vom Brocke

    (University of Liechtenstein)

Abstract

Digital agents with human-like characteristics have become ubiquitous in our society and are increasingly relevant in commercial applications. While some of them closely resemble humans in appearance (e.g., digital humans), they still lack many subtle social cues that are important for interacting with humans. Among them are the so-called microexpressions— facial expressions that are short, subtle, and involuntary. We investigate to what extent microexpressions in digital humans influence people's perceptions and decision-making in order to inform the practices of digital human's design. Our two experiments applied four types of microexpressions based on emotion type (happiness and anger) and intensity (normal and extreme). This paper is among the first to design and evaluate microexpressions with different intensity levels in digital humans. In particular, we leverage the possibilities of digitally (re)designing humans and human perception. These possibilities are feasible only in a digital environment, where it is possible to explore various microexpressions beyond real human beings' physical capabilities.

Suggested Citation

  • Aliya Tastemirova & Johannes Schneider & Leona Chandra Kruse & Simon Heinzle & Jan vom Brocke, 2022. "Microexpressions in digital humans: perceived affect, sincerity, and trustworthiness," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1603-1620, September.
    • Handle: RePEc:spr:elmark:v:32:y:2022:i:3:d:10.1007_s12525-022-00563-x
    DOI: 10.1007/s12525-022-00563-x
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    References listed on IDEAS

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    1. Martin Adam & Michael Wessel & Alexander Benlian, 2021. "AI-based chatbots in customer service and their effects on user compliance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 427-445, June.
    2. Stephan Diederich & Alfred Benedikt Brendel & Lutz M. Kolbe, 2020. "Designing Anthropomorphic Enterprise Conversational Agents," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(3), pages 193-209, June.
    3. Silva, Emmanuel Sirimal & Bonetti, Francesca, 2021. "Digital humans in fashion: Will consumers interact?," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    4. Scott Thiebes & Sebastian Lins & Ali Sunyaev, 2021. "Trustworthy artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 447-464, June.
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    Cited by:

    1. Suen, Hung-Yue & Hung, Kuo-En, 2024. "Revealing the influence of AI and its interfaces on job candidates' honest and deceptive impression management in asynchronous video interviews," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    2. Rainer Alt, 2022. "Electronic Markets on platform culture," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1019-1031, September.
    3. Guanhua Hou & Xinran Li & Huiwen Wang, 2024. "How to improve older adults’ trust and intentions to use virtual health agents: an extended technology acceptance model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.

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