Virtual Humans Elicit Skin-Tone Bias Consistent with Real-World Skin-Tone Biases

  • Authors:
  • Brent Rossen;Kyle Johnsen;Adeline Deladisma;Scott Lind;Benjamin Lok

  • Affiliations:
  • CISE University of Florida, Gainesville, USA FL 32611;CISE University of Florida, Gainesville, USA FL 32611;Dept. of Surgery Oncology, Medical College of Georgia, Augusta, USA GA 30912;Dept. of Surgery Oncology, Medical College of Georgia, Augusta, USA GA 30912;CISE University of Florida, Gainesville, USA FL 32611

  • Venue:
  • IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
  • Year:
  • 2008

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Abstract

In this paper, we present results from a study that shows that a dark skin-tone VH agent elicits user behavior consistent with real world skin-tone biases. Results from a study with medical students (n=21), show participant empathy towards a dark skin-tone VH patient was predicted by their measured bias towards African-Americans. Real world bias was measured using a validated psychological instrument called the implicit association test (IAT). Scores on the IAT were significantly correlated to coders' ratings of participant empathy. This result indicates that VHs elicit realistic responses and could become an important component in cultural diversity training.