User-centered evaluation of personalized web sites: What's unique?

Human Computer Interaction Research in Web Design and Evaluation

Volumn , Issue , 2006, Pages 257-272

  Alpert, Sherman R ^a   Vergo, John G ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

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EID: 51149094852     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59904-246-6.ch012     Document Type: Chapter

References (30)

1. Alpert, S. R., Karat, J., Karat, C.-M., Brodie, C., & Vergo, J. G. (2003). User attitudes regarding a user-adaptive ecommerce Web site. User Modeling and User-Adapted Interaction, 13(4), 373-396.
2. Andersen, H. H. K., Andersen, V., & Hansen, C. B. (2001). Establishing criteria for evaluating intelligent agents in e-commerce. In S. Weibelzahl, D. Chin, & G. Weber (Eds.), Empirical evaluation of adaptive systems.
3. Burke, R. (1999). Integrating knowledge-based and collaborative-filtering. In Proceedings of the AAAI 1999 Workshop on AI and Electronic Commerce (pp. 14-20).
4. Carroll, J. M., & Rosson, M. B. (1987). The paradox of the active user. In J. M. Carroll (Ed.), Interfacing thought: Cognitive aspects of human-computer interaction. Cambridge, MA: MIT Press.
5. Chin, D. N. (2001). Empirical evaluation of user models and user-adapted systems. User Modeling and User-Adapted Interaction, 11, 181-194.
6. Consumer Reports WebWatch. (2002, April 16). A matter of trust: What users want from Web sites. Retrieved from http://www.consumerwebwatch.org/dynamic/web-credibility-report-a-matter-of-trust.cfm
7. Czarkowski, M., & Kay, J. (2005). Scrutability as a core interface element. In C.-K. Looi et al. (Eds.), Artificial Intelligence in Education, Proceedings of AIED-2005 (pp. 783-785). Amsterdam: IOS Press.
8. D'Hertefelt, S. (2000, January 3). Trust and the perception of security. Retrieved from http://www.interactionarchitect.com/research/report20000103shd.htm
9. Godin, S. (1999). Permission marketing: Turning strangers into friends, and friends into customers. New York: Simon & Schuster.
10. Grice, H. P. (1975). Logic and conversation. In P. Cole & J. Morgan (Eds.), Syntax and semantics 3: Speech Acts (pp. 41-58). New York: Academic.
11. Gupta, A., & Grover, P. S. (2003). Proposed evaluation framework for adaptive hypermedia systems. In Proceedings of the Third Workshop on Empirical Evaluation of Adaptive Systems. Retrieved from http://www.easy-hub.org/hub/workshops/ah2004/proceedings.html
12. Karat, C. M., Brodie, C., Karat, J., Vergo, J. G., & Alpert, S. R. (2003). Personalizing the user experience on IBM.com. IBM Systems Journal, 42(4), 686-701.
13. Kay, J. (2001, July). Scrutability for personalised interfaces. ERCIM News (No. 46). Retrieved from http://www.ercim.org/publication/Ercim_News/enw46/kay.html
14. th Annual International Conference on Research and Development in Information Retrieval (pp. 329-336). New York: ACM Press.
15. Mobasher, B., Dai, H., Luo, T., & Nakagawa, M. (2001). Improving the effectiveness of collaborative filtering on anonymous Web usage data. In Proceedings of the IJCAI 2001 Workshop on Intelligent Techniques for Web Personalization (ITWP01).
16. Nielsen, J. (1998, October 4). Personalization is over-rated. Jakob Nielsen's Alertbox. Retrieved from http://www.useit.com/alertbox/981004.html
17. Paramythis, A., Totter, A., & Stephanidis, C. (2001). A modular approach to the evaluation of adaptive user interfaces. In S. Weibelzahl, D. Chin, & G. Weber (Eds.), Empirical Evaluation of Adaptive Systems, Proceedings of Workshop Held at the Eighth International Conference on User Modeling. Retrieved from http://art.ph-freiburg.de/um2001/documents/paramythis.pdf
18. Reeves, B., & Nass, C. (1999). The media equation: How people treat computers, television, and new media like real people and places. Stanford, CA: CSLI Publications/Cambridge University Press.
19. Resnick, P., & Varian, H. R. (1997). Recommender systems. Communications of the ACM, 40(3), 56-58.
20. Schafer, J. B., Konstan, J., & Riedl, J. (2001). E-commerce recommendation applications. Journal of Data Mining and Knowledge Discovery, 5(1/2), 115-152.
21. Searle, J. R. (1969). Speech acts: An essay in the philosophy of language. London: Cambridge University Press.
22. Swearingen, K., & Sinha, R. (2001). Beyond algorithms: An HCI perspective on recommender systems. Paper presented at the ACM SIGIR 2001 Workshop on Recommender Systems.
23. Usability First. (2004). Introduction to usability. Retrieved from http://www.softwareevaluation.de
24. Venkatesh, V., & Agarwal, R. (2005). Turning visitors into customers: A usability-centric perspective on purchase behavior in electronic channels. Retrieved from http://disc-nt.cba.uh.edu/chin/speakerseries/Venkatesh-Agarwal.pdf
25. Vredenburg, K., Isensee, S., & Righi, C. (2001). User centered design: An integrated approach. Upper Saddle River, NJ: Prentice Hall.
26. th Hawaii International Conference on System Sciences. Retrieved from http://computing.breinestorm.net/conformity+information+personalization+study+edu/.
27. Weibelzahl, S., Lippitsch, S., & Weber, G. (2002). Advantages, opportunities, and limits of empirical evaluations: Evaluating adaptive systems. Künstliche Intelligenz, 3(02), 17-20.
28. Weibelzahl, S., & Weber, G. (2001). Mental models for navigation in adaptive Web-sites and behavioral complexity. In T. Arnold & C. S. Herrmann (Eds.), Cognitive Systems & Mechanisms. Abstracts of the Fifth Annual Meeting of the German Cognitive Science Society in Leipzig, KogWis 2001 (p. 74). Leipzig: Leipziger Universitätsverlag.
29. Weibelzahl, S., & Weber, G. (2003). Evaluating the inference mechanism of adaptive learning systems. In P. Brusilovsky, A. Corbett, & F. de Rosis (Eds.), User Modeling: Proceedings of the Ninth International Conference (LNAI 2702, pp. 154-168). Berlin: Springer.
30. Zhu, T., & Greiner, R. (2005). Evaluating an adaptive music-clip recommender system. In S. Weibelzahl, A. Paramythis, & J. Masthoff (Eds.), Proceedings of the Fourth Workshop