skip to main content
10.1145/1125451.1125749acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
Article

Privacy-enhanced personalization

Published: 21 April 2006 Publication History

Abstract

Consumer surveys show that online users value personalized content [5]. At the same time, providing personalization on websites seems quite profitable for web vendors [2, 6-8]. This win-win situation is however marred by privacy concerns since personalizing people's interaction entails gathering considerable amounts of data about them. As numerous recent surveys have consistently demonstrated, computer users are very concerned about their privacy on the Internet. Moreover, the collection of personal data is also subject to legal regulations in many countries and states. Both user concerns and privacy regulations impact frequently-used personalization methods. This workshop will explore the potential of research on "privacy-enhanced personalization," which aims at reconciling the goals and methods of user modeling and personalization with privacy constraints imposed by individual preferences, conventions and laws.

References

[1]
Acquisti, A. Privacy in Electronic Commerce and the Economics of Immediate Gratification. in EC'04 ACM Conference on Electronic Commerce. 2004. New York, NY, 21--29, DOI 10.1145/988772.988777.
[2]
Bachem, C. Profilgestütztes Online Marketing. in Personalisierung im E-Commerce. 1999. Hamburg, Germany.
[3]
Cassel, L. and U. Wolz. Client Side Personalization. in DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries. 2001. Dublin, Ireland, http://www.ercim.org/publication/ws-proceedings/DelNoe02/CasselWolz.pdf.
[4]
Chellappa, R.K. and R. Sin, Personalization versus Privacy: An Empirical Examination of the Online Consumer's Dilemma. Information Technology and Management, 2005. 6(2-3), 181--202, DOI 10.1007/s10799-005-5879-y.
[5]
ChoiceStream, ChoiceStream Personalization Survey: Consumer Trends and Perceptions. 2005, http://www.choicestream.com/pdf/ChoiceStream_PersonalizationSurveyResults2005.pdf.
[6]
Cooperstein, D., et al., Making Net Shoppers Loyal. 1999, Forrester Research: Cambridge, MA.
[7]
Hagen, P.R., H. Manning and R. Souza, Smart Personalization. 1999, Forrester Research: Cambridge, MA.
[8]
Hof, R., H. Green, and L. Himmelstein, Now it's YOUR WEB. Business Week, 1998. October 5: 68--75.
[9]
Hui, K.-L., B.C.Y. Tan, and C.-Y. Goh, Online Information Disclosure: Motivators and Measurements. ACM Transactions on Internet Technology, 2006. 6(4), http://www.comp.nus.edu.sg/~lung/motivators.pdf.
[10]
Jensen, C., C. Potts, and C. Jensen, Privacy Practices of Internet Users: Self-Reports versus Observed Behavior. Int'l J. of Human-Computer Studies, 2005. 63: 203--227.
[11]
Kobsa, A., User Modeling in Dialog Systems: Potentials and Hazards. AI & Society, 1990. 4(3), 214--240, http://www.ics.uci.edu/~kobsa/papers/1990-AISoc-kobsa.pdf.
[12]
Kobsa, A., Personalization and International Privacy. Communications of the ACM, 2002(5), 64-67, DOI 10.1145/767193.767196.
[13]
Mulligan, D. and A. Schwartz. Your Place or Mine?: Privacy Concerns and Solutions for Server and Client-Side Storage of Personal Information. in Computers, Freedom & Privacy Conference. 1999, 81--84.
[14]
Orwant, J., Heterogenous Learning in the Doppelänger User Modeling System. User Modeling and User-Adapted Interaction, 1994. 4(2), 107--130, DOI 10.1007/BF01099429.
[15]
Spiekermann, S., J. Grossklags, and B. Berendt. E-privacy in 2nd Generation E-Commerce: Privacy Preferences versus Actual Behavior. in EC'01: Third ACM Conference on Electronic Commerce. 2001. Tampa, FL, 38--47, DOI 10.1145/501158.501163.
[16]
Teltzrow, M. and A. Kobsa, Impacts of User Privacy Preferences on Personalized Systems: a Comparative Study, in Designing Personalized User Experiences for eCommerce, C.-M. Karat, J. Blom, J. Karat, eds. 2004, Kluwer: Dordrecht. 315-332, http://www.ics.uci.edu/ ~kobsa/papers/2004-PersUXinECom-kobsa.pdf.
[17]
Volokh, E., Personalization and Privacy. Communications of the ACM, 2000. 43(8): p. 84--88.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
CHI EA '06: CHI '06 Extended Abstracts on Human Factors in Computing Systems
April 2006
1914 pages
ISBN:1595932984
DOI:10.1145/1125451
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 April 2006

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. e-commerce
  2. personal data
  3. personalization
  4. privacy
  5. user modeling
  6. user profiling

Qualifiers

  • Article

Conference

CHI06
Sponsor:
CHI06: CHI 2006 Conference on Human Factors in Computing Systems
April 22 - 27, 2006
Québec, Montréal, Canada

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025
ACM CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
Yokohama , Japan

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)3
  • Downloads (Last 6 weeks)1
Reflects downloads up to 05 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2023)Recent advances and future challenges in federated recommender systemsInternational Journal of Data Science and Analytics10.1007/s41060-023-00442-417:4(337-357)Online publication date: 25-Aug-2023
  • (2012)Personalization and privacyUser Modeling and User-Adapted Interaction10.1007/s11257-011-9110-z22:1-2(203-220)Online publication date: 1-Apr-2012
  • (2011)Security, privacy, and personalizationComputers in Entertainment10.1145/2027456.20274639:3(1-33)Online publication date: 14-Nov-2011
  • (2010)Ethnographic insights on security, privacy, and personalization aspects of user interaction in interactive TVProceedings of the 8th European Conference on Interactive TV and Video10.1145/1809777.1809817(187-196)Online publication date: 9-Jun-2010
  • (2010)ReviewTelematics and Informatics10.1016/j.tele.2009.05.00327:1(51-66)Online publication date: 1-Feb-2010
  • (2009)User identification for cross-system personalisationInformation Sciences10.1016/j.ins.2008.08.022179:1-2(16-32)Online publication date: Jan-2009
  • (2008)Mediation of user models for enhanced personalization in recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-007-9042-918:3(245-286)Online publication date: 1-Aug-2008
  • (2007)Personalization in multimodal interfacesProceedings of the 2007 workshop on Tagging, mining and retrieval of human related activity information10.1145/1330588.1330592(23-26)Online publication date: 15-Nov-2007
  • (2006)What is your husband's name?Proceedings of the 18th Australia conference on Computer-Human Interaction: Design: Activities, Artefacts and Environments10.1145/1228175.1228217(237-244)Online publication date: 20-Nov-2006

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media