A social network approach to resolving group-level conflict in context-aware services |
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| Authors: | Ohbyung Kwon |
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| Affiliation: | 1. Federal Reserve Board, 6333 Brocketts Crossing, Kingstowne, VA 22315, United States;2. Department of Mathematics, Temple University, Philadelphia, PA 19122, United States;3. Economic Research Department, Bank of Greece, 21 El. Venizelos Ave., 102 50 Athens, Greece;4. Leicester University and Bank of Greece, Room Astley Clarke 116, University Road, Leicester LEI 7RH, UK;1. Seoul National University College of Nursing, The Research Institute of Nursing Science, 103 Daehak-ro, Jongno-gu, Seoul, Republic of Korea;2. CHA University College of Nursing, 30 Beolmal-lo, Bundang-gu, Seongnam-shi, Gyeongghi-do, Republic of Korea;3. Ewha Women''s University High School, 560 Sungsan-ro, Seodaemun-gu, Seoul, Republic of Korea |
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| Abstract: | Group conflict that occurs when delivering context-aware services negatively affects service usage within a specific service space, and researchers have proposed few conflict resolution methods to address the issue. This paper presents a methodology to autonomously resolve the conflict arising between users in identical contexts, such as place and computing resources. To do so, a two-phase case-based reasoning method is proposed. To minimize privacy concerns, a social network model is applied to produce key social context data, secondary to personal data, and which is used in place of the users’ personal data for case-based reasoning. To show the feasibility of the idea proposed in this paper, a prototype system with simulation-based validation is tested to determine conflict resolution strategies and a simulation test has been performed. |
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