Eye-tracking product recommender's usage

RecSys'10 - Proceedings of the 4th ACM Conference on Recommender Systems

Volumn , Issue , 2010, Pages 29-36

  Castagnos, Sylvain ^a   Jones, Nicolas ^a   Pu, Pearl ^a  

^a EPFL   (Switzerland)

Author keywords

Decision theory; Impact and evaluation of recommenders in practice; Time dependent model of diversity; Usage patterns and attention; User studies

Indexed keywords

AREAS OF INTERESTS; CLASSICAL ECONOMICS; CURRENT RESEARCHES; DATA POINTS; DECISION PROCESS; DECISION TOOL; E-COMMERCE; EYE TRACKING SYSTEMS; EYE-TRACKING; IMPACT AND EVALUATION OF RECOMMENDERS IN PRACTICE; INTERACTION BEHAVIOR; INTERACTION DESIGN; NEW OPPORTUNITIES; ONLINE PRODUCTS; PURCHASE DECISION; RECOMMENDER SYSTEMS; SEARCH PATTERNS; SEARCH PROCESS; SEARCH TOOLS; TIME-DEPENDENT MODELS; TRADITIONAL PRODUCTS; USAGE PATTERNS; USER STUDY;

ECONOMICS;

DECISION THEORY;

EID: 78649923332     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1864708.1864717     Document Type: Conference Paper

References (18)

1. S. Castagnos, N. Jones, and P. Pu. Recommenders' influence on buyers' decision process. In Proceedings of the 3rd ACM Conference on Recommender Systems (RecSys 2009), pages 361-364, New-York, USA, October 2009.
2. S. Castagnos and P. Pu. Consumer decision patterns through eye gaze analysis. In Workshop on Eye Gaze in Intelligent Human Machine Interaction (IUI 2010), Hong Kong, China, February 2010.
3. L. Chen and P. Pu. Preference-based organization interfaces : Aiding user critiques in recommender systems. In In Proceedings of International Conference on User Modeling (UM'07), pages 77-86, Corfu, Greece, June 2007.
4. G. Haubl and K. Murray. Preference construction and persistence in digital marketplaces : The role of electronic recommendation agents. Journal of Consumer Psychology, 13(1) :75-91, 2003.
5. G. Haubl and V. Trifts. Consumer decision making in online shopping environments : The effects of interactive decision aids. Marketing Science, 19(1) :4-21, 2000.
6. J. Hauser and B. Wernerfelt. An evaluation cost model of consideration sets. Journal of Consumer Research, 16 :393-408, March 1990.
7. S. Ho. Web personalization and its effects on users' information processing and decision making. PhD Thesis of the Hong Kong University of Science and Technology, 2004.
8. S. Ho, D. Bodoff, and K. Tam. Timing of adaptive web personalization and its effects on online consumer behavior. Information Systems Research, 2009 (forthcoming).
9. S. Ho and K. Tam. An empirical examination of the effects of web personalization at different consumer decision-making stages. International Journal of Human-Computer Interaction, 19(1) :95-112, 2005.
10. N. Jones. User Perceived Qualities and Acceptance of Recommender Systems : The Role of Diversity. PhD thesis, Swiss Federal Institute of Technology (EPFL), 2010.
11. N. Jones, P. Pu, and L. Chen, editors. How Users Perceive and Appraise Personalized Recommendations. Springer, 2009.
12. P. Maes, R. Guttman, A. Moukas, and R. Moukas. Agents that buy and sell : Transforming commerce as we know it. Communications of the ACM, 42 :81-91, 1999.
13. L. McGinty and B. Smyth. On the role of diversity in conversational recommender systems. In Proceedings of the International Conference on Case-Based Reasoning Research and Development (ICCBR), pages 276-290, 2003.
14. S. McNee, J. Riedl, and J. Konstan. Being accurate is not enough : how accuracy metrics have hurt recommender systems. In CHI '06 : CHI '06 extended abstracts on Human factors in computing systems, pages 1097-1101, New York, NY, USA, 2006. ACM.
15. J. Payne, J. Bettman, and E. Johnson. The Adaptive Decision Maker. Cambridge University Press, 1993.
16. P. Pu, M. Zhou, and S. Castagnos. Critiquing recommenders for public taste products. In Proceedings of the 3rd ACM Conference on Recommender Systems (RecSys 2009), pages 249-252, New-York, USA, October 2009.
17. B. Smyth and P. McClave. Similarity vs. diversity. In Proceedings of the 4th International Conference on Case-Based Reasoning, pages 347-361, Vancouver, Canada, 2001.
18. C.-N. Ziegler, S. McNee, J. Konstan, and G. Lausen. Improving recommendation lists through topic diversification. In Proceedings of the 14th international conference on World Wide Web (WWW 2005), pages 22-32.