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extended-abstract

Toward modeling auditory information seeking strategies on the web

Published: 10 April 2010 Publication History

Abstract

Human performance models based on information foraging theory have proved capable of predicting navigation behavior on the Web. They can therefore provide a useful tool for Web site design. They may also be effective for modeling auditory navigation within a single Web page. Designers often struggle to accommodate this sort of access, different as it is from their own experience. As a step toward realistic simulations based on models of auditory Web access, we describe information seeking strategies observed in people with visual impairment using screen reading software for Web navigation tasks. We outline one example strategy for approaching a new Web page that, guided by information foraging theory, may expose access barriers that current design tools miss.

References

[1]
Anderson, J. and Lebiere, C. The atomic components of thought. Erlbaum, USA, 1998.
[2]
Blackmon, M., Kitajama, M. and Polson, P. Tool for accurately predicting website navigation problems, non-problems, problem severity, and effectiveness of repairs. In Proc. CHI 2005. ACM Press (2005), 31--40.
[3]
Chi, E., Rosien, A., Supattanasiri, G., Williams, A., Royer, C., Chow, C., Robles, E., Dalal, B., Chen, J., & Cousins, S. (2003). The bloodhound project: automating discovery of web usability issues using the InfoScent" simulator. In Proc. CHI 2003. ACM Press (2003), 505--512.
[4]
Disability Rights Commission. The Web: Access and Inclusion for Disabled People. Disability Rights Commission, London, UK, 2004.
[5]
Fu, W. and Pirolli, P. SNIF-ACT: A cognitive model of user navigation on the World Wide Web. Human-Computer Interaction, 22, 4 (2007), 355--412.
[6]
Halverson, T. and Hornoff, A. A minimal model for predicting visual search in human computer interaction. In Proc. CHI 2007, ACM Press (2007), 431--434.
[7]
Pirolli, P. and Card, S. Information foraging. Psychology Review 106, 4 (1999) 643--675.
[8]
Takagi, H., Saito, S., Fukada, K. and Asakawa, C. Analysis of navigability of web applications for improving blind usability. ACM Transactions on Computer-Human Interaction 14, 3, (2007), Article 13.
[9]
Teo, L. and John, B. E. Towards a tool for predicting goal-directed exploratory behavior. Proc. Human Factors and Ergonomics Society 52nd Annual Meeting (2008), 950--954.
[10]
WebAIM. Screen Reader User Survey Results, 2009 http://www.webaim.org/projects/screenreadersurvey2/
[11]
Yesilada, Y., Stevens, R., Harper, S. and Goble, C. Evaluating DANTE: Semantic transcoding for visually disabled users. ACM Transactions on Human-Computer Interaction 14, 3, (2007), Article 14.

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cover image ACM Conferences
CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems
April 2010
2219 pages
ISBN:9781605589305
DOI:10.1145/1753846

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 April 2010

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Author Tags

  1. accessibility
  2. cognitive modeling
  3. visual impairment

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  • Extended-abstract

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CHI '10
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CHI EA '10 Paper Acceptance Rate 350 of 1,346 submissions, 26%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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