Abstract
Trust is a social phenomenon that impacts the situation awareness of individuals and indirectly their decision-making. However, most of the existing computational models of situation awareness do not take interpersonal trust into account. Contrary to those models, this study introduces a computational, agent-based situation awareness model incorporating trust to enable building more human-like decision making tools. To illustrate the proposed model, a simulation case study has been conducted in the airline operation control domain. According to the results of this study, the trustworthiness of information sources had a significant effect on airline operation controller’s situation awareness.
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We thank Soufiane Bouarfa for his involvement and contribution in the development of the paper and especially the case study.
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Aydoğan, R., Sharpanskykh, A., Lo, J. (2015). A Trust-Based Situation Awareness Model. In: Bulling, N. (eds) Multi-Agent Systems. EUMAS 2014. Lecture Notes in Computer Science(), vol 8953. Springer, Cham. https://doi.org/10.1007/978-3-319-17130-2_2
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DOI: https://doi.org/10.1007/978-3-319-17130-2_2
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