Journal of Intelligence and Information Systems (지능정보연구)

Korea Intelligent Information System Society (한국지능정보시스템학회)
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Model Based Approach to Estimating Privacy Concerns for Context-Aware Services

상황인식서비스를 위한 모델 기반의 프라이버시 염려 예측

  • Lee, Yon-Nim (School of International Management, Kyunghee University) ;
  • Kwon, Oh-Byung (School of International Management, Kyunghee University)
  • 이연님 (경희대학교 국제경영학부) ;
  • 권오병 (경희대학교 국제경영학부)
  • Received : 2009.02.25
  • Accepted : 2009.06.23
  • Published : 2009.06.30
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Abstract

Context-aware computing, as a core of smart space development, has been widely regarded as useful in realizing individual service provision. However, most of context-aware services so fat are in its early stage to be dispatched for actual usage in the real world, caused mainly by user's privacy concerns. Moreover, since legacy context-aware services have focused on acquiring in an automatic manner the extra-personal context such as location, weather and objects near by, the services are very limited in terms of quality and variety if the service should identify intra-personal context such as attitudes and privacy concern, which are in fact very useful to select the relevant and timely services to a user. Hence, the purpose of this paper is to propose a novel methodology to infer the user's privacy concern as intra-personal context in an intelligent manner. The proposed methodology includes a variety of stimuli from outside the person and then performs model-based reasoning with social theory models from model base to predict the user's level of privacy concern semi-automatically. To show the feasibility of the proposed methodology, a survey has been performed to examine the performance of the proposed methodology.

상황인식은 지능공간의 핵심기술로 개인화 및 자동화된 서비스를 제공하는 데 있어 가장 유용한 방법 중 하나로 대두되고 있다. 그러나 대부분의 상황인식 서비스들은 실제적인 상용화로까지 이어지지 못하고 있으며 그 가장 큰 이유 중 하나로 지적되고 있는 것이 사용자의 프라이버시 염려이다. 또한 현재 제공되는 상황인식서비스의 종류 및 수준은 매우 제한적이고 한정적인 수준에 머무르고 있는데 이는 지금까지의 상황인식이 외면적이고 관찰 가능한 상황을 인지하는 데만 주력하였을 뿐 인간의 내면적이고 인지적인 상황은 상황정보로 고려하지 않았기 때문이다. 따라서 본 연구에서는 개인의 내면적인 정보인 프라이버시 염려 수준을 또 하나의 상황정보의 형태로 예측할 수 있는 방법론을 제안하고자 한다. 이를 위해 개인에게 가해지는 다양한 외부 자극 정보를 기본 상황정보로 하여 이미 검증된 프라이버시 염려 관련 사회심리학 모델베이스를 통해 특정 서비스에 대한 사용자의 프라이버시 염려 수준을 예측하는 접근법을 개발하였다. 본 연구에서 제안한 방법론의 타당성 및 실현 가능성을 검증하기 위해 상황인식으로 얻어진 자료 및 수집된 프라이버시 염려 관련 사회심리학 모델들을 가지고 예측한 프라이버시 염려 정도와 실제 조사한 프라이버시 염려 수준을 통계적 방법으로 비교하였다.

Keywords

References

  1. Aamodt, A. and E. Plaza, "Case-based Reasoning ：Foundational Issues, Methodological Variations, and System Approaches", Artificial Intelligence Communications, Vol.7, No.1(1994), 39-59.
  2. Ackerman, M., T. Darrel and D. J. Weitzner, "Privacy in Context", Human-Computer Interaction, Vol.16, No.2-4(2001), 167-176. https://doi.org/10.1207/S15327051HCI16234_03
  3. Atiya, A. "Bankruptcy prediction for credit risk using neural networks：A survey and new results", IEEE Trans. Neural Networks, Vol. 12, No.4(2001), 929-935. https://doi.org/10.1109/72.935101
  4. Bellman, S., E. J. Johnson, S. J. Kobrin, and G. L. Lohse, "International Differences in Information Privacy Concerns：A Global Surveyof Consumers", The Information Society,Vol.20, No.5(2004), 313-324. https://doi.org/10.1080/01972240490507956
  5. Bruwer, J., E. Li, and M. Reid, "Wine-related lifestyle segmentation of the Australian domestic wine market", Australian and New Zealand Wine Industry Journal, Vol.16, No.2(2001),104-108.
  6. Cas, J., "Privacy in pervasive computing environments-a contradiction in terms?", IEEE Technology and Society Magazine, (2005), 24-33.
  7. Castañeda, J. A. and F. J. Montoro, "The effect of Internet general privacy concern on customer behavior", Electronic Commerce Research, Vol.7, No.2(2007), 117-141. https://doi.org/10.1007/s10660-007-9000-y
  8. Clark, P. J. and F. C. Evans, "Distance to nearest neighbor as a measure of spatial relationships in population", Ecology, (1954), Vol.35, 445-453. https://doi.org/10.2307/1931034
  9. Culnan, M. J. and P. K. Armstrong, "Information Privacy Concerns, Procedural Fairness, and Impersonal Trust：An Empirical Investigation", Organization Science, Vol.10, No.1 (1999), 104-115. https://doi.org/10.1287/orsc.10.1.104
  10. Dinev, T. and P. Hart, "An Extended Privacy Calculus Model for E-Commerce Transactions", Information Systems Research, Vol. 17, No.1(2006), 61-80. https://doi.org/10.1287/isre.1060.0080
  11. Dritsas, S., D. Gritzalis and C. Lambrinoudakis, "Protecting privacy and anonymity in pervasive computing：trends and perspectives", Telematics and informatics, Vol.23, No.3(2006), 196-210. https://doi.org/10.1016/j.tele.2005.07.005
  12. Epic.com, http://www.epic.org/privacy/.
  13. Floridi, L., "Four challenges for a theory of in formational privacy", Ethics and Information Technology, Vol.8, No.3(2006), 109-119. https://doi.org/10.1007/s10676-006-9121-3
  14. Galloway, G. and K. Lopez, "Sensation seeking and attitudes to aspects of national parks：A preliminary empirical investigation", Tourism Management, Vol.20, No.6(1999), 665-671. https://doi.org/10.1016/S0261-5177(99)00031-X
  15. Hsu, M. H. and F. Y. Kuo, "The Effect of Organization-Based Self-Esteem and Deindividuation in Protecting Personal Information Privacy", Journal of Business Ethics, Vol.42, No.4(2003), 305-320. https://doi.org/10.1023/A:1022500626298
  16. Jiang, X. and J. A. Landay, "Modeling Privacy Control in Context-Aware Systems", IEEE Pervasive Computing, Vol.1, No.3(2002), 59-63. https://doi.org/10.1109/MPRV.2002.1037723
  17. Johnston, A. C. and M. Warkentin, "Information privacy compliance in the healthcare industry", Information Management and Computer Security, Vol.16, No.1(2008), 5-19. https://doi.org/10.1108/09685220810862715
  18. Kolodner, J., "Case-Based Reasoning", Morgan Kaufmann Publishers Inc, San Francisco, CA, USA(1993).
  19. Kwon, O. B. and N. Sadeh, "Applying case-based reasoning and multi-agent intelligent system to context-aware comparative shopping", Decision Support Systems, Vol.37(2004), 199-213. https://doi.org/10.1016/S0167-9236(03)00007-1
  20. Leake, D., A. Maguitman, and T. Reichherzer, "Cases, Context, and Comfort：Opportunities for Case-Based Reasoning in Smart Homes", Lecture Notes in Artificial Intelligence, Vol. 4008(2006), 109-131.
  21. Lee, H, H. Jo, and I. Han, "Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis", Expert Systems with Applications, Vol.13, No.2(1997), 97-108. https://doi.org/10.1016/S0957-4174(97)00011-0
  22. Malhotra, N. K., S. S. Kim, and J. Agarwal, "Internet Users' Information Privacy Concerns (IUIPC)：The Construct, the Scale, and a Causal Model", Information Systems Research, Vol.15, No.4(2004), 336-355. https://doi.org/10.1287/isre.1040.0032
  23. Min, B. K. and Y. T. Kim, "Antecedents and Consequences of Privacy Concern on the Online-Shopping", The Korea Contents Society, Vol.6, No.11(2006).
  24. Phelps, J., D'Souza, G., and G. Nowak, "Antecedents and consequences of consumer privacy concerns：An empirical investigation", Journal of Interactive Marketing, Vol.15, No.4 (2001), 2-17. https://doi.org/10.1002/dir.1019
  25. Skinner, G., S. Han, and E. Chang, "An information privacy taxonomy for collaborative environments", Information Management and Computer Security, Vol.14, No.4(2006), 382-394. https://doi.org/10.1108/09685220610690835
  26. Slyke, V., J. T. Shim, R. Johnson, and J. Jiang, "Concern for Information Privacy and Online Consumer Purchasing", Journal of the Association for Information Systems, Vol.7, No. 6(2006), 415-444.
  27. Smailagic, A., D. P. Siewiorek, J. Anhalt, F. Gemperle, D. Salber, S. Weber, J. Beck, and J. Jennings, "Towards Context Aware Computing： Experiences and Lessons", IEEE Journal on Intelligent Systems, Vol.16, No. 3(2001), 38-46. https://doi.org/10.1109/5254.940025
  28. Smith, H. J., S. J. Milberg, and S. J. Burke, "Information Privacy：Measuring Individuals' Concerns about Organizational Practices", MIS quarterly：management information systems, Vol.20, No.2(1996), 167-196. https://doi.org/10.2307/249477
  29. Stewart, K. A. and A. H. Segars, "An Empirical Examination of the Concern for Information Privacy Instrument", Information Systems Research, Vol.13, No.1(2002), 36-49. https://doi.org/10.1287/isre.13.1.36.97
  30. Warren, S. D. and L. D. Brandeis, Right to Privacy, Harvard Law Review, 1890, 193-220.
  31. Westin, A. F., Privacy and Freedom, Atheneum, New York, 1967.
  32. Xie, E., H. H. Teo, and W. Wan, "Volunteering personal information on the internet：Effects of reputation, privacy notices, and rewards on online consumer behavior", Marketing Letters, Vol.17, No.1(2006), 61-74. https://doi.org/10.1007/s11002-006-4147-1
  33. Yao, M. Z., R. E. Rice, and K. Wallis, "Predicting User Concerns About Online Privacy", Journal of The American Society for Information Science and Technology, Vol.58, No.5(2007), 710-722. https://doi.org/10.1002/asi.20530