Trust-based decision-making for smart and adaptive environments
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Published:2015-04-16
Issue:3
Volume:25
Page:267-293
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ISSN:0924-1868
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Container-title:User Modeling and User-Adapted Interaction
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language:en
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Short-container-title:User Model User-Adap Inter
Author:
Hammer Stephan,Wißner Michael,André Elisabeth
Abstract
Abstract
Smart environments are able to support users during their daily life. For example, smart energy systems can be used to support energy saving by controlling devices, such as lights or displays, depending on context information, such as the brightness in a room or the presence of users. However, proactive decisions should also match the users’ preferences to maintain the users’ trust in the system. Wrong decisions could negatively influence the users’ acceptance of a system and at worst could make them abandon the system. In this paper, a trust-based model, called User Trust Model (UTM), for automatic decision-making is proposed, which is based on Bayesian networks. The UTM’s construction, the initialization with empirical data gathered in an online survey, and its integration in an office setting are described. Furthermore, the results of a live study and a live survey analyzing the users’ experience and acceptance are presented.
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Education
Reference41 articles.
1. Adali, S., Escriva, R., Goldberg, M.K., Hayvanovych, M., Magdon-Ismail, M., Szymanski, B.K., Wallace, W.A., Williams, G.T.: Measuring behavioral trust in social networks. In: Yang, C.C., Zeng, D., Wang, K., Sanfilippo, A., Tsang, H.H., Day, M.Y., Glässer, U., Brantingham, P.L., Chen, H. (eds.) Intelligence and Security Informatics (ISI), 2010 IEEE International Conference on, pp. 150–152. IEEE, Vancouver, BC, Canada (2010). doi:10.1109/ISI.2010.5484757 2. Antifakos, S., Kern, N., Schiele, B., Schwaninger, A.: Towards improving trust in context-aware systems by displaying system confidence. In: Proceedings of the 7th International Conference on Human Computer Interaction with Mobile Devices and Services, MobileHCI ’05, Salzburg, Austria, pp. 9–14. ACM (2005). doi:10.1145/1085777.1085780 3. Arimura, S., Fujita, M., Kobayashi, S., Kani, J., Nishigaki, M., Shiba, A.: i/k-contact: A context-aware user authentication using physical social trust. In: Privacy, Security and Trust (PST), 2014 Twelfth Annual International Conference on, pp. 407–413 (2014). doi:10.1109/PST.2014.6890968 4. Bee, K., Hammer, S., Pratsch, C., André, E.: The automatic trust management of self-adaptive multi-display environments. In: Khalil, I., Mantoro, T. (eds.) Trustworthy Ubiquitous Computing, Atlantis Ambient and Pervasive Intelligence, pp. 3–20. Atlantis Press, Amsterdam (2012). doi:10.2991/978-94-91216-71-8-1 5. Bhuiyan, T., Xu, Y., Jøsang, A.: A review of trust in online social networks to explore new research agenda. In: Arabnia, H.R., Clincy, V.A., Lu, J., Marsh, A., Solo, A.M.G. (eds.) Proceedings of the 2010 International Conference on Internet Computing (ICOMP 2010), pp. 123–128. CSREA Press, Las Vegas, NV, USA (2010). http://www.eprints.qut.edu.au/41447/
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