Acceptance of AI for delegating emotional intelligence: Results from an experiment

M. Leyer, B. Aysolmaz, Deniz Iren

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Detecting emotions of other humans is challenging for us humans. It is however important in many social contexts so that many individuals seek help in this regard. As technology is evolving, more and more AI-based options emerge that promise to detect human emotions and support decision making. We focus on the full delegation of detecting emotions to AI to contribute to our understanding how such AI is perceived and why it is accepted. For this, we conduct an online scenario-based experiment in which participants have the choice to delegate emotion detection to another human in one group and to an AI tool in the other group. Our results show that the delegation rates are higher for a human, but surprisingly high for AI. The results provide insights that should be considered when designing AI-based emotion-detection tools to build trustworthy and accepted designs.
Original languageEnglish
Title of host publicationProceedings of the 54th Hawaii International Conference on System Sciences
Pages6307-6316
Number of pages10
ISBN (Electronic)978-0-9981331-4-0
Publication statusPublished - 5 Jan 2021
Event54th Hawaii International Conference on System Sciences (HICSS) - Grand Wailea, Maui, United States
Duration: 5 Jan 20218 Jan 2021

Conference

Conference54th Hawaii International Conference on System Sciences (HICSS)
CountryUnited States
CityGrand Wailea, Maui
Period5/01/218/01/21

Keywords

  • artificial intelligence
  • attachment theory
  • emotion detection
  • emotions
  • experiment

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