Abstract
A Virtual Trainer (VT) for moral expertise development can potentially contribute to organizational and personal moral well-being. In a pilot study a prototype of the VT confronted university employees with a complaint from an anonymous student on unfair grading: a plausible scenario. Addressing criticisms from students may be a stressful situation for many teaching professionals. For successful training, adapting the agent’s strategy based on the performance of the user is crucial. To this end, we further recorded a multimodal dataset of the interactions between the participants and the VT for future analysis. Participants saw the value in a VT that lets them practice such encounters. What is more, many participants felt truly taken aback when our VT announced that a student was unhappy with them. We further describe a first look at the multimodal dataset.
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Kolkmeier, J., Lee, M., Heylen, D. (2017). Moral Conflicts in VR: Addressing Grade Disputes with a Virtual Trainer. In: Beskow, J., Peters, C., Castellano, G., O'Sullivan, C., Leite, I., Kopp, S. (eds) Intelligent Virtual Agents. IVA 2017. Lecture Notes in Computer Science(), vol 10498. Springer, Cham. https://doi.org/10.1007/978-3-319-67401-8_28
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DOI: https://doi.org/10.1007/978-3-319-67401-8_28
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