Abstract
This paper describes an approach to assess and measure trust based on a specific Ambient Intelligence environment. The primary aim of this work is to address and expand on this line of research by investigating the possibility of measuring trust based on quantifiable behavior. To do so, we present a brief review of the existing definitions of trust and define trust in the context of an Ambient Intelligence (AmI) scenario. Further, we propose a formal definition so that the analysis of trust in this kind of scenarios can be developed. Thus, it is suggested the use of Ambient Intelligence techniques that use a trust data model to collect and evaluate relevant information based on the assumption that observable trust between two entities (parties) results in certain typical behaviors. This will establish the foundation for the prediction of such aspects based on the analysis of people’s interaction with technological environments, providing new potentially interesting trust assessment tools.
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References
Fells, R.E.: Developing trust in negotiation. Employee Relations 15(1), 33–45 (1993)
Castelfranchi, C., Falcone, R.: Trust is much more than subjective probability: Mental components and sources of trust. In: Proceedings of the 33rd Hawaii International Conference on System Sciences, HICSS 2000, Washington, DC, USA, vol. 6, p. 6008. IEEE Computer Society (2000)
Picard, R.W.: Computer learning of subjectivity. ACM Comput. Surv. 27(4), 621–623 (1995)
Sherchan, W., Nepal, S., Paris, C.: A survey of trust in social networks. ACM Comput. Surv. 45(4), 47:1–47:33 (2013)
Carneiro, D., Novais, P., Andrade, F., Zeleznikow, J., Neves, J.: Using case-based reasoning and principled negotiation to provide decision support for dispute resolution. Knowledge and Information Systems 36(3), 789–826 (2012)
Ross, W., LaCroix, J.: Multiple meanings of trust in negotiation theory and research: A literature review and integrative model. International Journal of Conflict Management 7(4), 314–360 (1996)
Adali, S., Escriva, R., Goldberg, M.K., Hayvanovych, M., Magdon-Ismail, M., Szymanski, B.K., Wallace, W.A., Williams, G.: Measuring behavioral trust in social networks. In: 2010 IEEE International Conference on Intelligence and Security Informatics (ISI), pp. 150–152, May 2010
Gomes, M., Oliveira, T., Carneiro, D., Novais, P., Neves, J.: Studying the effects of stress on negotiation behavior. Cybernetics and Systems 45(3), 279–291 (2014)
Pimenta, A., Carneiro, D., Novais, P., Neves, J.: Monitoring mental fatigue through the analysis of keyboard and mouse interaction patterns. In: Proceedings of Hybrid Artificial IntelligentSystems: 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, pages 222–231. Springer, Heidelberg (2013)
Carneiro, D., Gomes, M., Novais, P., Neves, J.: Developing dynamic conflict resolution models based on the interpretation of personal conflict styles. In: Proceedings of Progress in Artificial Intelligence: 15th Portuguese Conference on Artificial Intelligence, EPIA 2011, Lisbon, Portugal, October 10-13, pp. 44–58. Springer, Heidelberg (2011)
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Gomes, M., Analide, C., Novais, P. (2016). Assessing Interpersonal Trust in an Ambient Intelligence Negotiation System. In: Lindgren, H., et al. Ambient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016). ISAmI 2016. Advances in Intelligent Systems and Computing, vol 476. Springer, Cham. https://doi.org/10.1007/978-3-319-40114-0_16
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DOI: https://doi.org/10.1007/978-3-319-40114-0_16
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