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In:Reading Comprehension in Educational Settings
Edited by José A. León and Inmaculada Escudero
[Studies in Written Language and Literacy 16] 2017
► pp. 169–192

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Chapter 7
Development of a cognitive model of web-navigation

 | Utrecht University
 | Utrecht University
Published online: 19 October 2017
DOI logo with link
https://doi.org/10.1075/swll.16.07van
Abstract
Easiness of navigation within a website is an important factor for information seeking performance. Several cognitive models exist that simulate the web-navigation process and these models in turn can be useful in supporting information seeking behavior. In this chapter we first discuss previous work we did on further developing a cognitive model of web-navigation CoLiDeS (Comprehension-based Linked model of Deliberate Search) that takes information from pictures into consideration, next to information from hyperlinks. This model is called CoLiDeS + Pic. Just like its parent model CoLiDeS, it uses Latent Semantic Analysis to compute semantic similarity in order to measure the information scent of hyperlinks available on a page. Next, we propose a new model CoLiDeS ++ Pic that adds path adequacy (with information from both hyperlinks and pictures) and applies backtracking. We hypothesize that in this way the information seeking process can be better modeled when compared to the previous model CoLiDeS + Pic. This was verified by simulating the model on a mockup website and comparing the results with the previous CoLiDeS + Pic model. The results support our hypothesis. We also present briefly the results of an experiment with tool-support based on the new model CoLiDeS ++ Pic. The results prove that model-generated support is fostering information seeking performance and helps in search tasks. We further discuss the challenges and advantages of automating navigation support using the proposed model.
Article outline
  • Introduction
  • Comprehension-based linked model of deliberate search
  • Related work: CoLiDeS + Pic
  • The moment of processing pictures on a web page
  • Efficacy of the CoLiDeS + Pic model
  • Validation of CoLiDeS + Pic model with behavioral data
  • Usefulness of automatic model-generated support
  • New model: CoLiDeS ++ Pic
  • Current implementation and running of CoLiDeS ++ Pic
  • Efficacy of CoLiDeS ++ Pic model
  • Experiment with model-generated support
  • Conclusion
  • References
References (28)
References
Bezdan, E. (2013). Graphical Overviews in Hypertext Learning Environments: When one size does not fit all. Unpublished PhD dissertation Open University, The Netherlands, Heerlen.Google Scholar logo with link to Google Scholar
Blackmon, M. H., Kitajima, M., & Polson, P. G. (2005). Tool for accurately predicting website navigation problems, non-problems, problem severity, and effectiveness of repairs. In Proc CHI2005, ACM Press, 31–40.Google Scholar logo with link to Google Scholar
Blackmon, M. H., Kitajima, M., Mandalia, D. R., & Polson, P. G. (2007). Cognitive walkthrough for the Web puts LSA to work on real-world HCI design problems. In T. Landauer, D. McNamara, S. Dennis & W. Kintsch (Eds.), Handbook of Latent Semantic Analysis. Mahwah, NJ: L. Erlbaum Ass., 345–375.Google Scholar logo with link to Google Scholar
Cockburn, A., & McKenzie, B. (2001). What do web users do? An empirical analysis of web use. International Journal of Human-Computer Studies 54(6), 903–922. Google Scholar logo with link to Google Scholar
Hofman, R., & van Oostendorp, H. (1999). Cognitive effects of a structural overview in a hypertext. British Journal of Educational Technology 30, 129–140. Google Scholar logo with link to Google Scholar
Jul, S., & Furnas, G. W. (1997). Navigation in electronic worlds: a CHI 97 workshop. SIGCHI bulletin 29, 44–49. Google Scholar logo with link to Google Scholar
Juvina, I. (2006). Development of a Cognitive Model for Navigating on the Web. Unpublished PhD dissertation Utrecht University, The Netherlands, Utrecht.Google Scholar logo with link to Google Scholar
Juvina, I., & van Oostendorp, H. (2008). Modeling semantic and structural knowledge in Web navigation. Discourse Processes 45(4–5), 346–364. Google Scholar logo with link to Google Scholar
Karanam, S., van Oostendorp, H., & Fu, W. -T. (2016). Performance of computational cognitive models of web-navigation on real websites. Journal of Information Science 41 (1), 94–113. Google Scholar logo with link to Google Scholar
Karanam, S., Van Oostendorp, H., & Indurkhya, B. (2012). Evaluating CoLiDeS+ Pic: the role of relevance of pictures in user navigation behaviour. Behaviour & Information Technology, 31(1), 31–40. Google Scholar logo with link to Google Scholar
(2011). Towards a Fully Computational Model of Web-Navigation. In Modern Approaches in Applied Intelligence. Vol. 6703 LNCS, Springer, 327–337. Google Scholar logo with link to Google Scholar
Karanam, S., van Oostendorp, H., & Indurkhya, B. (2010). The role of content in addition to hyperlinks in user clicking behavior. Proceedings European Conference on Cognitive Ergonomics (ECCE 2010). Technical University Delft, The Netherlands. Google Scholar logo with link to Google Scholar
Kintsch, W. (1998). Comprehension: A Paradigm for Cognition. Cambridge University Press.Google Scholar logo with link to Google Scholar
Kerka, S (2000). Incidental Learning: Trends and Issues. Alert no 18. Columbus, OH: Eric Clearinghouse on Adult Career and Vocational Education.Google Scholar logo with link to Google Scholar
Kitajima, M., Blackmon, M. H., & Polson, P. G. (2000). A comprehension-based model of Web navigation and its application to Web usability analysis. People and computers XIV – Usability or else!, Springer, 357–373. Google Scholar logo with link to Google Scholar
Kitajima, M., Polson, P. G., & Blackmon, M. H. (2007). CoLiDeS and SNIF-ACT: Complementary models for searching and sense making on the Web. In HCIC Winter Workshop.Google Scholar logo with link to Google Scholar
Landauer, T. K., Foltz, P. W., & Laham, D. (1998). An introduction to latent semantic analysis. Discourse Processes 25(2–3), 259–284. Google Scholar logo with link to Google Scholar
Landauer, T. K., McNamara, S., Dennis, S., & Kintsch, W. (2007). Handbook of Latent Semantic Analysis. Mahwah, NJ: L. Erlbaum Ass.Google Scholar logo with link to Google Scholar
Lazar, J. (2003). The World Wide Web. In J. Jacko & A. Sears (Eds.), The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications. Mahwah, NJ: L. Erlbaum Ass, 714–730.Google Scholar logo with link to Google Scholar
Marsick, V. J., & Watkins, K. E. (1990). Informal and Incidental Learning in the Workplace. N.Y.: Routledge.Google Scholar logo with link to Google Scholar
Martin, D. I., & Berry, M. W. (2007). Mathematical Foundation Behind Latent Semantic Analysis. In T. Landauer, D. McNamara, S. Dennis & W. Kintsch (Eds.), Handbook of Latent Semantic Analysis, Mahwah, NJ: L. Erlbaum Ass., 35–55.Google Scholar logo with link to Google Scholar
McDonald, S., & Stevenson, R. J. (1998). Navigation in hyperspace: An evaluation of the effects of navigational tools and subject experience on browsing and information retrieval in hypertext. Interacting with Computers 10, 129–142. Google Scholar logo with link to Google Scholar
Nilsson, R. M., & Mayer, R. E. (2002). The effects of graphic organizers giving cues to the structure of hypertext document on user’ navigation strategies and performance. Human-Computer Studies 57, 1–26. Google Scholar logo with link to Google Scholar
Olston, C., & Chi, E. H. (2003). ScentTrails: Integrating browsing and searching on the Web. TOCHI 10(3), ACM Press, 177–197.Google Scholar logo with link to Google Scholar
Pirolli, P., & Card, S. (1999). Information foraging. Psychological Review 106(4), 643–675. Google Scholar logo with link to Google Scholar
Smith, P. A (1996). Towards a practical measure of hypertext usability. Interacting with Computers 8(4), 365–381. Google Scholar logo with link to Google Scholar
Van Oostendorp, H., Karanam, S., & Indurkhya, B. (2012). CoLiDeS + Pic: a cognitive model of web-navigation based on semantic information from pictures. Behaviour & Information Technology 31(1), 17–30. Google Scholar logo with link to Google Scholar
Cited by (1)

Cited by one other publication

Ferguson, Chris & Herre van Oostendorp
2020. Lost in Learning: Hypertext Navigational Efficiency Measures Are Valid for Predicting Learning in Virtual Reality Educational Games. Frontiers in Psychology 11 DOI logo

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