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.
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Rossen, B., Johnsen, K., Deladisma, A., Lind, S., Lok, B. (2008). Virtual Humans Elicit Skin-Tone Bias Consistent with Real-World Skin-Tone Biases. In: Prendinger, H., Lester, J., Ishizuka, M. (eds) Intelligent Virtual Agents. IVA 2008. Lecture Notes in Computer Science(), vol 5208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85483-8_24
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DOI: https://doi.org/10.1007/978-3-540-85483-8_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85482-1
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