Predicting and Solving Web Navigation Problems

Authors

Maria Carmen Puerta Melguizo
Herre van Oostendorp
Ion Juvina, Wright State University - Main CampusFollow

Document Type

Conference Proceeding

Publication Date

2007

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Abstract

In the first experiment we explored the ability of different objective and subjective measures to predict user's success in finding information in a website. The results indicate that the subjective measure of lostness seems to be a better predictor of task performance than any of the objective measures. In the second experiment the probability of getting lost was reduced by presenting navigation support generated by the cognitive model CoLiDeS+, a model of web navigation that describes step-by-step which information presented on the screen is attended to and selected. CoLiDeS+ could be used as a software agent that automatically offers navigation suggestions in real time.

Comments

Paper presented at 18th ACM Conference on Hypertext and Hypermedia, Manchester, UK, September 10-12, 2007.

Repository Citation

Puerta Melguizo, M. C., Oostendorp, H. v., & Juvina, I. (2007). Predicting and Solving Web Navigation Problems. Hypertext 2007 : Proceedings of the Eighteenth ACM Conference on Hypertext and Hypermedia, 47-48.
https://corescholar.libraries.wright.edu/psychology/52