Extracting Behavioural Patterns from a Negotiation Game
The work presented focuses not only on the behavioural patterns that influence the outcome of a negotiation, but also on the discovery of ways to predict the type of conflict used in the process and the stress levels of the actors. After setting up an experimental intelligent environment provided with sensors to capture behavioural and contextual information, a set of relevant data was collected and analysed, with the underlying objective of using the behavioural patterns (obtained by statistical/probabilistic methods) as a basis to design and present plans and suggestions to the associated participants. In sooth, these proposals may influence in a positive way the course and outcome of a negotiation task in many aspects. This work highlights the importance of knowledge in negotiation, as in other social forms of interaction, providing also some new insights for informed decision support in situations in which uncertainty and conflict may be present.
KeywordsIntelligent Environments Online Dispute Resolution Negotiation Context-Aware
Unable to display preview. Download preview PDF.
- 1.Raiffa, H.: The art and science of negotiation: how to resolve conflicts and get the best out of bargaining. The Belknap Press of Harvard University Press (1982)Google Scholar
- 2.Ye, J., Coyle, L., Dobson, S., Nixon, P.: Using situation lattices to model and reason about context. In: Proceedings of MRC 2007: The Workshop of Modeling and Reasoning Context (coexist with CONTEXT 2007), Roskilde, Denmark, pp. 1–12 (August 2007)Google Scholar
- 6.Cooper, J.O., Heron, T.E., Heward, W.L.: Applied Behavior Analysis. Prentice Hall (1987)Google Scholar
- 7.Castillo, J.C., Rivas-Casado, A., Fernández-Caballero, A., López, M.T., Martínez-Tomás, R.: A multisensory monitoring and interpretation framework based on the model–view–controller paradigm. In: Ferrández, J.M., Álvarez Sánchez, J.R., de la Paz, F., Toledo, F.J. (eds.) IWINAC 2011, Part I. LNCS, vol. 6686, pp. 441–450. Springer, Heidelberg (2011)CrossRefGoogle Scholar
- 8.Fernández-Caballero, A., Castillo, J.C., Martínez-Cantos, J., Martínez-Tomás, R.: Optical flow or image subtraction in human detection from infrared camera on mobile robot. Robotics and Autonomous Systems 58(12), 1273–1281 (2010); Intelligent Robotics and NeuroscienceGoogle Scholar
- 10.Carneiro, D., Gomes, M., Novais, P., Andrade, F., Neves, J.: Automatic classification of personal conflict styles in conflict resolution. In: Atkinson, K.M. (ed.) Legal Knowledge and Information Systems - JURIX 2011: The Twenty-Fourth Annual Conference, pp. 43–52. IOS Press (2011)Google Scholar