Automating Usability Evaluation: Cognitive Walkthrough for theWeb Puts LSA toWork on Real-World HCIDesign Problems

Handbook of Latent Semantic Analysis

Volumn , Issue , 2007, Pages 345-375

  Blackmon, Marilyn Hughes ^a   Mandalia, Dipti R ^a   Polson, Peter G ^a   Kitajima, Muneo ^b  

^a UNIVERSITY OF COLORADO   (United States)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85145526853     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9780203936399-25     Document Type: Chapter

References (28)

1. Blackmon, M. H. (2003). [Test of 40 CWW predictions fromautomatedCWWanalysis over 40, 000 webpages of the complete Encarta.msn.com website:Web-based experiment available at http://autocww.coloado.edu/~blackmon/Expt030303Home.html]. Unpublished raw data.
2. Blackmon, M. H. (2004). Cognitive Walkthrough. In W. S. Bainbridge (Ed.), Encyclopedia of human-computer interaction (2 vols.). Great Barrington, MA: Berkshire Publishing.
3. Blackmon, M. H., Kitajima, M., and Polson, P. G. (2003). Repairing usability problems identified by the CognitiveWalkthrough for theWeb. CHI Letters, 5: Proceedings of CHI 2003, 497-504.
4. Blackmon, M.H., Kitajima, M., and Polson, P. G. (2005). Tool for accurately predicting website navigation problems, non-problems, problem severity, and effectiveness of repairs. CHI Letters, 7: Proceedings of CHI 2005, 31-41.
5. Blackmon, M. H., Polson, P. G., Kitajima, M., and Lewis, C. (2002). Cognitive Walkthrough for the Web. CHI Letters, 4: Proceedings of CHI 2002, 463-470.
6. Brown, R. (2005).ACWW: Adding automation to the CognitiveWalkthrough for theWeb (CWW). Unpublished Master’s thesis, University of North Florida.
7. Chi, E. H., Pirolli, P., Chen, K., andPitkow, J. (2001). Using information scent to model user information needs and actions and theWeb. CHI Letters, 3: Proceedings of CHI 2001, 490-497.
8. Chi, E. H., Rosien, A., Supattanasiri, G., Williams, A., Royer, C., Chow, C., Robles, E., Dalal, B., Chen, J., and Cousins, S. (2003). The Bloodhound Project: Automating discovery of web usability issues using the InfoScent™ Simulator. CHI Letters, 5: Proceedings of CHI 2003, 505-512.
9. Furnas, G.W. (1997). Effective view navigation. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 367-374.
10. Gray, W. D., and Salzman, M. C. (1998a). Damaged merchandise? Areview of experiments that compare usability evaluation methods. Human-Computer Interaction, 13, 203-261.
11. Gray, W. D., and Salzman, M. C. (1998b). Repairing damaged merchandise: Arejoinder. Human-Computer Interaction, 13, 325-335.
12. Hertzum, M., andJacobsen, N. E. (2003). The evaluator effect:Achilling fact about usability evaluation methods. International Journal of Human-Computer Interaction, 15(1), 183-204.
13. Kintsch, W. (1998). Comprehension: A paradigm for cognition. Cambridge, England: Cambridge University Press.
14. Kitajima, M., Blackmon, M. H., and Polson, P. G. (2000). A comprehension-based model ofWeb navigation and its application toWeb usability analysis. In S. Mc-Donald, Y. Waern, and G. Cockton (Eds.), People and computers XIV-usability or else! (pp. 357-373). New York: Springer.
15. Kitajima, M., Blackmon, M. H., and Polson, P. G. (2005). Cognitive architecture for website design and usability evaluation: Comprehension and information scent in performing by exploration. Invited session on Cognitive Architectures in HCI. HCI-International 2005 Conference Proceedings [CD-ROM].
16. Kitajima, M., Kariya, N., Takagi, H., and Zhang, Y. (2005). Evaluation of website usability using Markov chains and latent semantic analysis. IEICE Transactions Online, Vol. E88-B, 1467-1475.
17. Kitajima, M. and Polson, P. G. (1997). Acomprehension-based model of exploration. Human-Computer Interaction, 12, 345-389.
18. Mandalia, D. R. (2004). User-centered design of a content analysis tool for domain experts. Unpublished master’s thesis, University of Colorado, Boulder.
19. Miller, C. S., andRemington, R.W. (2004). Modeling information navigation: Implications for information architecture. Human-Computer Interaction, 19, 225-271.
20. Pirolli, P. (2005). Rational analyses of information foraging on theWeb. Cognitive Science, 29, 343-373.
21. Pirolli, P., and Card, S. K. (1999). Information foraging. Psychological Review, 106(4), 643-675.
22. Pirolli, P. L., and Fu, W. (2003). SNIF-ACT: A model of information foraging on the World Wide Web (9th International Conference on User Modeling, June 22-26, 2003, Johnstown, PA). Lecture Notes in Artificial Intelligence, 2702, 45-54.
23. Pirolli, P. (2005). Rational analyses of information foraging on theWeb. Cognitive Science, 29, 343-373.
24. Pirolli, P., Fu, W-T, Chi, E., andFarahat, A. (2005). Information scent andweb navigation: Theory, models and automated usability evaluation. Invited session on Cognitive Architectures in HCI. HCI-International 2005 Conference Proceedings [CD-ROM].
25. Rieman, J., Young, R. M., and Howes, A. (1996). A dual space model of iteratively deepening exploratory learning. International Journal of Human-Computer Studies, 44, 743-775.
26. Soto, R. (1999). Learning and performing by exploration: Label quality measured by latent semantic analysis. CHI Letters, 1: Proceedings of CHI 1999, 418-425.
27. Wharton, C., Rieman, J., Lewis, C., and Polson, P. (1994). The CognitiveWalkthrough method:Apractitioner’s guide. In J. NielsenandR. L. Mack (Eds.), Usability inspection methods (pp. 105-140). New York: Wiley.
28. Zeno, S. M., Ivens, S. H., Millard, R. T., and Duvvuri, R. (1995). The educator’s word frequency guide. Brewster, NY: Touchstone Applied Science Associates.