Teaching Negotiation Skills through Practice and Reflection with Human-AI Interaction

“Teaching Negotiation Skills through Practice and Reflection with Human-AI Interaction” by Mark Core, David Traum, H. Chad Lane, William Swartout, Jonathan Gratch, Michael van Lent, and Stacy Marsella. SIMULATION, vol. 82, no. 11, 2006, pp. 685-701.

Abstract

Although the representation of physical environments and behaviors will continue to play an important role in simulation-based training, an emerging challenge is the representation of virtual humans with rich mental models (e.g., including emotions, trust) that interact through conversational as well as physical behaviors. The motivation for such simulations is training soft skills such as leadership, cultural awareness, and negotiation, where the majority of actions are conversational, and the problem solving involves consideration of the emotions, attitudes, and desires of others.The educational power of such simulations can be enhanced by the integration of an intelligent tutoring system to support learners' understanding of the effect of their actions on virtual humans and how they might improve their performance. In this paper, we discuss our efforts to build such virtual humans, along with an accompanying intelligent tutor, for the domain of negotiation and cultural awareness. } category={Human-AI Interaction

BibTeX entry:

@article{core2014,
   author = {Mark Core and David Traum and H. Chad Lane and William
	Swartout and Jonathan Gratch and Michael van Lent and Stacy
	Marsella},
   title = {Teaching Negotiation Skills through Practice and Reflection
	with Human-AI Interaction},
   journal = {SIMULATION},
   volume = {82},
   number = {11},
   pages = {685-701},
   year = {2006},
   url = { https://doi.org/10.1177/0037549706075542 }
}

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