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Impacts of User Privacy Preferences on Personalized Systems

A Comparative Study

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References

  • Agrawal, R., Kiernan, J., Srikant, R., and Xu, Y. (2002) Hippocratic Databases. 28th International Conference on Very Large Databases, Hong Kong, China.

    Google Scholar 

  • Andersen Legal, Internet Privacy Survey (2001) A Re-Survey of the Privacy Practices of Australia’s Most Popular Websites. Sydney: Andersen Legal, 12 April 2001.

    Google Scholar 

  • Ardissono, L. and Goy, A. (2000) Tailoring the interaction with users in web stores. User Modeling and User-Adapted Interaction 10(4) 251–303.

    Article  Google Scholar 

  • http://www.privacybird.com

  • Behrens, L. (2001) Privacy and Security: The Hidden Growth Strategy. In Gartner G2, 31 May 2001.

    Google Scholar 

  • Berendt, B., Günther, O., and Spiekermann, S. (to appear). Privacy in E-Commerce: Stated preferences vs. actual behavior. Communications of the ACM, 2004.

    Google Scholar 

  • Brusilovsky, P., Kobsa, A. and Vassileva, J. (Eds), 1998, Adaptive Hypertext and Hypermedia. Dordrecht, Netherlands: Kluwer Academic Publishers.

    Google Scholar 

  • Brusilovsky, P. (2001) Adaptive hypermedia. User Modeling and User-Adapted Interaction, 11(1–2), 87–110.

    MATH  Google Scholar 

  • Center for Democracy Technology (2001) Online Banking Privacy: A Slow, Confusing Start to Giving Customers Control Over Their Information. Washington DC: CDT.

    Google Scholar 

  • Chin, D.N. (1989) KNOME: modeling what the user knows in UC. In Kobsa, A. and Wahlster, W. (Eds.) User Models in Dialog Systems Springer Verlag 74–107.

    Google Scholar 

  • Chittaro, L. and Ranon, R. (2000) Adding adaptive features to virtual reality interfaces for e-commerce. In Brusilivsky, P., Stock O. and Strappavara, C. (Eds.) Adaptive Hypermedia and Adaptive Web-Based Systems. Springer, 86–91.

    Google Scholar 

  • Culnan, M J. and Milne, G. R. (2001) The Culnan-Milne Survey on Consumers & Online Privacy Notices: Summary of Responses. In Interagency Public Workshop (Ed.) Get Noticed: Effective Financial Privacy Notices, Washington, D.C.

    Google Scholar 

  • Cyber Dialogue (2001) UCO Software To Address Retailers $6.2 Billion Privacy Problem, Press Release, http://www.cyberdialogue.com/news/releases/2001/11-07-uco-retail.pdf

  • Debevc, M., Meyer, B., Donlagic, D., and Svecko, R (1996) Design and evaluation of an adaptive icon toolbar. User Modeling and User-Adapted Interaction 6(1) 1–21.

    Article  Google Scholar 

  • Deloitte Touche Tohmatsu and Dimension Data (2001) Survey Reveals Major Corporations are Getting Ready for New Privacy Law. Canberra: Deloitte, September 17, 2001.

    Google Scholar 

  • Department for Trade and Industry (2001) Informing Consumers about E-Commerce conducted by MORI, London: DTI, http://www.mori.com/polls/2001/pdf/dti-e-commerce.pdf

    Google Scholar 

  • EU (2002) Directive 2002/58/EC of the European Parliament and of the Council Concerning the Processing of Personal Data and the Protection of Privacy in the Electronic Communications Sector. http://europa.eu.int/eur-lex/pri/en/oj/dat/2002/l_201/l_20120020731en00370047.pdf

  • Fink, J., Kobsa, A. and Nill, A. (1998) Adaptable and adaptive information provision for all users, including disabled and elderly people. The New Review of Hypermedia and Multimedia 4 163–188.

    Google Scholar 

  • First Amendment Center (2001) Freedom of Information in the Digital Age. Project of the ASNE Freedom of Information Committee and The First Amendment Center. http://www.freedomforum.org/publications/first/foi/foiinthedigitalage.pdf

  • Fischer-Hübner, S. (2001) IT-Security and Privacy: Design and Use of Privacy-Enhancing Security Mechanisms. LNCS 1958, Heidelberg, Germany: Springer.

    Google Scholar 

  • Forrester Research (2001) Privacy Issues Inhibit Online Spending (survey summary). Cambridge, MA. http://www.nua.com/surveys/?f=VS&art_id=905357259&rel=true

  • Foster, C. (2000) The Personalization Chain. In Jupiter Communications, Site Operations, Vol. 3, 2000.

    Google Scholar 

  • Fox, S., Rainie, L. (2000) Trust and Privacy Online: Why Americans Want to Rewrite the Rules. Pew Internet & American Life Project, Washington DC. http://www.pewinternet.org/reports/toc.asp?Report=19

    Google Scholar 

  • Gallup Organization (2001) Majority of E-mail Users Express Concern about Internet Privacy. Washington DC: The Gallup Organization, June 28, 2001. http://www.gallup.com/subscription/?m=f&c_id=10732

    Google Scholar 

  • GVU (1998) GVU’s 10th WWW User Survey. Graphics, Visualization and Usability Lab, Georgia Tech.

    Google Scholar 

  • Harper, J., Singleton, S. (2001) With a grain of salt, What Consumer Privacy Survey don’t tell us. Competitive Enterprise Institute. http://www.cei.org/PDFs/with_a_grain_of_salt.pdf

  • Harris Interactive (2000) A Survey of Consumer Privacy Attitudes and Behaviors. Rochester, NY.

    Google Scholar 

  • Harris Interactive (2001) Privacy Notices Research, Final Results. Privacy Leadership Initiative, Rochester, NY.

    Google Scholar 

  • Harris Interactive (2003) Most People Are Privacy Pragmatists. Rochester NY. March 19, 2003.

    Google Scholar 

  • Hine, C, Eve, J. (1998) Privacy in the Marketplace. Information Society 14 (4), 253–262.

    Article  Google Scholar 

  • Holynski, M. (1988) User-adaptive computer graphics. International Journal of Man-Machine Studies 29, 539–548.

    Google Scholar 

  • Höök, K., Karlgren, J., Waern, A., Dahlbäck, N., Jansson, C., Karlgren, K. and Lemaire, B. (1996) A glass box approach to adaptive hypermedia. User Modeling and User-Adapted Interaction 6(2–3), 157–184.

    Google Scholar 

  • Interactive Policy Making (2002) Views on Data Protection, Questionnaire on the Implementation of the Data Protection Directive (95/46/EC). Results of Online Consultation 20 June–15 September 2002, Brussels.

    Google Scholar 

  • Ipsos-Reid and Columbus Group, 2001, Privacy Policies Critical to Online Consumer Trust, Canadian Inter@ctive Reid Report.

    Google Scholar 

  • Jameson, A., Schäfer, R., Simons, J. and Weis, T. (1995) Adaptive provision of evaluation-oriented information: tasks and techniques. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, Montreal, Canada, Morgan Kaufmann, 1886–1893.

    Google Scholar 

  • Joachims, T., Freitag, D., and Mitchell, T., (1997) Webwatcher: a tour guide for the World Wide Web. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Nagoya, Japan, Morgan Kaufmann Publishers, 770–777.

    Google Scholar 

  • Joerding, T. (1999) A temporary user modeling approach for adaptive shopping on the web. Proceedings of the 2nd Workshop on Adaptive Systems and User Modeling on the WWW, WWW-8, Toronto, Canada and UM99, Banff, Canada.

    Google Scholar 

  • Jones, N., Neufeld, E., Waagstein, L., Stemmer, A. (1999) Online Financial Services — Integrated Service Is Key To Online Money Management. Jupiter Communications, Strategic Planning Services, (10), 1–19.

    Google Scholar 

  • Kaplan, C., Fenwick, J., and Chen, J. (1993) Adaptive hypertext navigation based on user goals and context. User Modeling and User-Adapted Interaction 3(3) 193–220.

    Article  Google Scholar 

  • Karat, C., Brodie, C., Karat, J., Vergo, J., and Alpert, S. (2003) Personalizing the User Experience on ibm.com. In Vredenburg, K. (Ed.), IBM Systems Journal, 42, 2, 686–701.

    Google Scholar 

  • Karjoth, G., Schunter, M., and Waidner, M. (2003) Platform for Enterprise Privacy Practices: Privacyenabled Management of Customer Data. In 2nd Workshop on Privacy Enhancing Technologies, LNCS, Volume 2482 / 2003, Berlin: Springer-Verlag, 69–84.

    Google Scholar 

  • Kobsa, A., Müller, D., and Nill, A. (1994) KN-AHS: an adaptive hypertext client of the user modeling system BGP-MS. In Proceedings of the Fourth International Conference on User Modeling, Cape Cod, MA, 99–105. Reprinted in M. Marbury and W. Wahlster (eds), 1998, Intelligent User Interfaces Morgan Kaufman, 372–378.

    Google Scholar 

  • Kobsa, A. and Schreck, J. (2003) Privacy through Pseudonymity in User-Adaptive Systems. ACM Transactions on Internet Technology 3 (2), 149–183

    Article  Google Scholar 

  • Kobsa, A. (2001) Generic User Modeling Systems. User Modeling and User-Adapted Interaction, 11. 49–63.

    MATH  Google Scholar 

  • Kobsa, A. (2003) A Component Architecture for Dynamically Managing Privacy Constraints in Personalized Web-Based Systems. In Dingledine, R. (Ed.) Privacy Enhancing Technologies: Third International Workshop, PET 2003, Dresden, Germany, Springer-Verlag, LNCS 2760, 177–188.

    Google Scholar 

  • Kobsa, A., Koenemann, J., Pohl, W. (2001) Personalised hypermedia presentation techniques for improving online customer relationships. The Knowledge Engineering Review, Vol. 16(2), 111–155. Cambridge University Press

    Google Scholar 

  • Kobsa, A. (2001) Tailoring Privacy to Users’ Needs. Invited Keynote, 8th International Conference on User Modeling, Sonthofen, Germany, Springer Verlag, 303–313.

    Google Scholar 

  • Konstan, J.A., Miller, B.N., Maltz, D., Herlocker, J.L., Gordon, L.R. and Riedl, J. (1997) GroupLens: applying collaborative filtering to Usenet news. Communications of the ACM 40(3) 77–87.

    Article  Google Scholar 

  • Kozierok, R. and Maes, P. (1993) A learning interface agent for scheduling meetings. In Gray, W.D., Hefley, W.E. and Murray, D. (Eds.) Proceedings of the International Workshop on Intelligent User Interfaces. ACM Press, 81–88.

    Google Scholar 

  • Krogsæter, M., Oppermann, R. and Thomas, C.G. (1994) A user interface integrating adaptability and adaptivity. In R Oppermann (Ed.) Adaptive User Support: Ergonomic Design of Manually and Automatically Adaptable Software. Lawrence Erlbaum, 97–125.

    Google Scholar 

  • Küpper, D. and Kobsa, A. (1999) User-tailored plan generation. In Kay, J. (Ed.) UM99 User Modeling: Proceedings of the Seventh International Conference, Banff, Canada, Springer-Verlag 45–54.

    Google Scholar 

  • Lesh, N., Rich, C. and Sidner, C.L. (1999) Using plan recognition in human-computer collaboration. In Kay, J. (Ed.) UM99 User Modeling: Proceedings of the Seventh International Conference, Banff, Canada, Springer-Verlag, 23–32.

    Google Scholar 

  • Lieberman, H. (1995) Letizia: An agent that assists web browsing. In Proceedings of the International Joint Conference on Artificial Intelligence, Montreal, Canada Morgan Kaufmann, 924–929.

    Google Scholar 

  • Mabley, K. (2000) Privacy vs. personalization, part three: a delicate balance. New York, NY: Cyber Dialogue Inc. http://www.cyberdialogue.com/library/pdfs/wp-cd-2000-privacy.pdf

    Google Scholar 

  • Maes, P. (1994) Agents that reduce work and information overload. Communications of the ACM 37(7) 31–40.

    Article  Google Scholar 

  • McAteer, S., Graves, L., Gluck, M., May, M., Allard, K. (1999) Proactive personalization — learning to swim, not drown in consumer data. Jupiter Study, New York City, 4–12.

    Google Scholar 

  • Mitchell, T., Caruana, R., Freitag, D., McDermott, J. and Zabowski, D. (1994) Experience with a learning personal assistant. Communications of the ACM 37(7) 81–91.

    Article  Google Scholar 

  • Pavlou, P. A. (2003) Consumer Acceptance of Electronic Commerce — Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce 7(3) 69–103.

    Google Scholar 

  • Pazzani, M. and Billsus, D. (1997) Learning and revising user profiles: the identification of interesting web sites. Machine Learning 27 313–331.

    Article  Google Scholar 

  • Personalization Consortium (2000) Personalization & Privacy Survey. Edgewater Place, MA. http://www.personalization.org/SurveyResults.pdf

  • Popp, H. and Lödel, D. (1996) Fuzzy techniques and user modeling in sales assistants. User Modeling and User-Adapted Interaction 5(3–4) 349–370.

    Google Scholar 

  • Privacy & American Business (1999) Personalized Marketing and Privacy on The Net: What Consumers Want, November 1999. http://www.pandab.org/doubleclicksummary.html

  • Resnick, P. and Varian, H.R. (1997) Recommender systems. Communications of the ACM, 40(3) 56–58.

    Article  Google Scholar 

  • Responsys.com (2000) Online Marketers Have Little Confidence in Self-Regulation of Internet Privacy. Sponsored by Millard Brown IntelliQuest. Palo Alto, CA, September 26, 2000.

    Google Scholar 

  • Roy Morgan Research (2001) Privacy and the Community. Prepared for the Office of the Federal Privacy Commissioner, Sydney, July 31, 2001. http://privacy.gov.au/publications/rcommunity.html

  • Sakagami, H., Kamba, T., Sugiura, A. and Koseki, Y. (1998) Effective personalization of push-type systems: visualizing information freshness. In Proceedings of the 7th World Wide Web Conference, Brisbane, Australia.

    Google Scholar 

  • Shardanand, U. and Maes, P. (1995) Social information filtering: algorithms for automating word of mouth. In Proceedings of the Human Factors in Computing Systems Conference (CHI-95), Denver, CO. ACM Press 210–217.

    Google Scholar 

  • Specht, M. (1998) Empirical evaluation of adaptive annotation in hypermedia. In Proceedings of the ED-MEDIA98, Freiburg, Germany, p.1327–1332.

    Google Scholar 

  • Sweeney, L. (2001) Computational Disclosure Control: A Primer on Data Privacy Protection, Ph.D. Thesis, MIT, Cambridge, MA.

    Google Scholar 

  • Teltzrow, M. and Kobsa, A. (2004) Communication of Privacy and Personalization in E-Business. In: Proceedings of the Workshop WHOLES: A Multiple View of Individual Privacy in a Networked World, Stockholm, Sweden.

    Google Scholar 

  • TSDPL (2001) Teleservices Data Protection Law (Article 3 of the Law on the Legal Requirements for Electronic Business Dealings of 14 Dec. 2001). German Federal Law Gazette 1, 3721.

    Google Scholar 

  • MR (2001) Privacy Concerns Loom Large. Conducted for the Privacy Commissioner of New Zealand. Survey summary, Auckland: PC of New Zealand. http://www.privacy.org.nz/privword/42pr.html

    Google Scholar 

  • Wham, T. (2001) Workshop on the Information Marketplace: Merging and Exchanging Consumer Data. Interview Transcript, Federal Trade Commission. http://www.ftc.gov/bcp/workshops/infomktplace/transcript.htm.

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Clare-Marie Karat Jan O. Blom John Karat

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Teltzrow, M., Kobsa, A. (2004). Impacts of User Privacy Preferences on Personalized Systems. In: Karat, CM., Blom, J.O., Karat, J. (eds) Designing Personalized User Experiences in eCommerce. Human-Computer Interaction Series, vol 5. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2148-8_17

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  • DOI: https://doi.org/10.1007/1-4020-2148-8_17

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