Autonomous Agent that Provides Automated Feedback Improves Negotiation Skills
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Research has found that individuals can improve their negotiation abilities by practicing with virtual agents [1, 2]. For these pedagogical agents to become more “intelligent,” the system should be able to give feedback on negotiation performance [3, 4]. In this study, we examined the impact of providing such individualized feedback. Participants first engaged in a negotiation with a virtual agent. After this negotiation, participants were either given automated individualized feedback or not. Feedback was based on negotiation principles , which were quantified using a validated approach . Participants then completed a second, parallel negotiation. Our results show that, compared to the control condition, participants who received such feedback after the first negotiation showed a significantly greater improvement in the strength of their first offer, concession curve, and thus their final outcome in the negotiation.
KeywordsNegotiation Individualized feedback Automated metrics
This research was supported by the US Army and the National Science Foundation. The content does not necessarily reflect the position or the policy of any Government, and no official endorsement should be inferred.
- 1.Gratch, J., DeVault, D., Lucas, G.: The benefits of virtual humans for teaching negotiation. In: Traum, D., Swartout, W., Khooshabeh, P., Kopp, S., Scherer, S., Leuski, A. (eds.) IVA 2016. LNCS (LNAI), vol. 10011, pp. 283–294. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47665-0_25CrossRefGoogle Scholar
- 2.Lin, R., Oshrat, Y., Kraus, S.: Investigating the benefits of automated negotiations in enhancing people’s negotiation skills. In: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems-Volume 1, pp. 345–352. International Foundation for Autonomous Agents and Multiagent Systems, May 2009Google Scholar
- 3.Kolb, A.Y., Kolb, D.A.: Experiential learning theory. In: Encyclopedia of the Sciences of Learning, pp. 1215–1219. Springer USGoogle Scholar
- 4.Kelley, H.H.: A classroom study of the dilemmas in interpersonal negotiations. Berkeley Institute of International Studies, University of California (1966)Google Scholar
- 5.Johnson, E., Gratch, J., DeVault, D.: Towards an autonomous agent that provides automated feedback on students’ negotiation skills. In: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, pp. 410–418. International Foundation for Autonomous Agents and Multiagent Systems, May 2017Google Scholar
- 7.Graesser, A.C., Cai, Z., Hu, X., Foltz, P.W., Greiff, S., Kuo, B.C., Shaffer, D.W.: Assessment of collaborative problem solving. Des. Recomm. Intell. Tutoring Syst. 275 (2017)Google Scholar
- 8.O’Neil, H.F., Chuang, S.S., Baker, E.L.: Computer-based feedback for computer-based collaborative problem solving. In: Ifenthaler, D., Pirnay-Dummer, P., Seel, N. (eds.) Computer-Based Diagnostics and Systematic Analysis of Knowledge, pp. 261–279. Springer, Boston (2010). https://doi.org/10.1007/978-1-4419-5662-0_14CrossRefGoogle Scholar
- 10.Wunderle, W.: How to negotiate in the middle east. Mil. Rev. 87(2), 33 (2007)Google Scholar
- 12.Samborn, H.V.: Vanishing trial, the. ABAJ 88, 24 (2002)Google Scholar
- 15.DeVault, D., Mell, J., Gratch, J.: Toward natural turn-taking in a virtual human negotiation agent. In: AAAI Spring Symposium on Turn-taking and Coordination in Human-Machine Interaction. AAAI Press, Stanford, March 2015Google Scholar
- 16.Hartholt, A., Traum, D., Marsella, Stacy C., Shapiro, A., Stratou, G., Leuski, A., Morency, L.-P., Gratch, J.: All together now. In: Aylett, R., Krenn, B., Pelachaud, C., Shimodaira, H. (eds.) IVA 2013. LNCS (LNAI), vol. 8108, pp. 368–381. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40415-3_33CrossRefGoogle Scholar