Abstract
Reflection is critically important for time-constrained training simulations that do not permit extensive tutor-student interactions during an exercise. Here, we describe a reflective tutoring system for a virtual human simulation of negotiation. The tutor helps students review their exercise, elicits where and how they could have done better, and uses explainable artificial intelligence (XAI) to allow students the chance to ask questions about the virtual human’s behavior.
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Lane, H.C., Core, M., Gomboc, D., Solomon, S., van Lent, M., Rosenberg, M. (2006). Reflective Tutoring for Immersive Simulation. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_83
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DOI: https://doi.org/10.1007/11774303_83
Publisher Name: Springer, Berlin, Heidelberg
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