Predicting and Solving Web Navigation Problems

Mari Carmen Puerta Melguizo; Herre Van Oostendorp; Ion Juvina

doi:10.1145/1286240.1286256

Predicting and Solving Web Navigation Problems

Mari Carmen Puerta Melguizo, Herre Van Oostendorp, Ion Juvina

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Hypertext 2007
Subtitle of host publication	Proceedings of the Eighteenth ACM Conference on Hypertext and Hypermedia, HT'07
Pages	47-48
Number of pages	2
DOIs	https://doi.org/10.1145/1286240.1286256
State	Published - 2007
Externally published	Yes
Event	Hypertext 2007: 18th ACM Conference on Hypertext and Hypermedia, HT'07 - Manchester, United Kingdom Duration: Sep 10 2007 → Sep 12 2007

Publication series

Name	Hypertext 2007: Proceedings of the Eighteenth ACM Conference on Hypertext and Hypermedia, HT'07

Conference

Conference	Hypertext 2007: 18th ACM Conference on Hypertext and Hypermedia, HT'07
Country/Territory	United Kingdom
City	Manchester
Period	9/10/07 → 9/12/07

ASJC Scopus Subject Areas

Computer Science Applications
Software
Media Technology

Keywords

Cognitive Models
Information Retrieval Tasks
Lostness
Web navigation

Disciplines

Computer Sciences
Psychology
Social and Behavioral Sciences

Access to Document

10.1145/1286240.1286256

Cite this

Predicting and Solving Web Navigation Problems. / Melguizo, Mari Carmen Puerta; Van Oostendorp, Herre; Juvina, Ion.
Hypertext 2007: Proceedings of the Eighteenth ACM Conference on Hypertext and Hypermedia, HT'07. 2007. p. 47-48 (Hypertext 2007: Proceedings of the Eighteenth ACM Conference on Hypertext and Hypermedia, HT'07).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Melguizo, MCP, Van Oostendorp, H & Juvina, I 2007, Predicting and Solving Web Navigation Problems. in Hypertext 2007: Proceedings of the Eighteenth ACM Conference on Hypertext and Hypermedia, HT'07. Hypertext 2007: Proceedings of the Eighteenth ACM Conference on Hypertext and Hypermedia, HT'07, pp. 47-48, Hypertext 2007: 18th ACM Conference on Hypertext and Hypermedia, HT'07, Manchester, United Kingdom, 9/10/07. https://doi.org/10.1145/1286240.1286256

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AB - 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.

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BT - Hypertext 2007

T2 - Hypertext 2007: 18th ACM Conference on Hypertext and Hypermedia, HT'07

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ER -

Predicting and Solving Web Navigation Problems

Abstract

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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Cite this