Abstract
We argue for the importance of negotiation as a challenge problem for virtual human research, and introduce a virtual conversational agent that allows people to practice a wide range of negotiation skills. We describe the multi-issue bargaining task, which has become a de facto standard for teaching and research on negotiation in both the social and computer sciences. This task is popular as it allows scientists or instructors to create a variety of distinct situations that arise in real-life negotiations, simply by manipulating a small number of mathematical parameters. We describe the development of a virtual human that will allow students to practice the interpersonal skills they need to recognize and navigate these situations. An evaluation of an early wizard-controlled version of the system demonstrates the promise of this technology for teaching negotiation and supporting scientific research on social intelligence.
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Notes
- 1.
Time pressure can be introduced by adding a deadline or a temporal discounting function. Automated negotiation agents usually require parties to alternate complete offers. Generalizations are also possible, e.g., by relaxing the assumption of an additive utility function.
- 2.
Personal communication with Professor Peter Kim, instructor of the negotiation course at the University of Southern California’s Marshall School of Business.
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This research was supported by the US Army. The content does not necessarily reflect the position or the policy of any Government, and no official endorsement should be inferred.
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Gratch, J., DeVault, D., Lucas, G.M., Marsella, S. (2015). Negotiation as a Challenge Problem for Virtual Humans. In: Brinkman, WP., Broekens, J., Heylen, D. (eds) Intelligent Virtual Agents. IVA 2015. Lecture Notes in Computer Science(), vol 9238. Springer, Cham. https://doi.org/10.1007/978-3-319-21996-7_21
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