Role of Information Scent and Link Position in a Successful Navigation on Web

  • Vamshi Velagapuri
  • Suvarna Rekha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7946)


How people navigate on the web is a question since the beginning of the hypertext days. Computational cognitive models such as CoLiDeS, CoLiDeS+, SNIF-ACT, MESA etc. tried to address user navigation on the web. When it comes to the visual search of navigation cues the models have certain assumptions like serial evaluation, top down order, working memory considerations. Two experiments were designed to address the issue of how people attend the links and the role information scent in a successful navigation. The results strengthen the fact that people select the link with the maximum scent in a successful navigation. When presented a set of navigational links, the amount of time spent on a link and the number of times it is being attended has not significantly correlated with the information scent it carries. Furthermore serial evaluation of the links is not observed for the menu size used.


Information scent Link position Web usability Web navigation Cognitive modeling Visual search 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Berners-Lee, T.J.: The world-wide web. Computer Networks and ISDN Systems 25(4), 454–459 (1992)CrossRefGoogle Scholar
  2. 2.
    Engelbeck, G.E.: Exceptions to generalizations: Implications for formal models of human-computer interaction. Unpublished masters’s thesis, University of Colarado, Department of Psychology, Boulder, Co. (1986)Google Scholar
  3. 3.
    Pirolli, P., Card, S.K.: Information Foraging. Psychological Review 106(4), 643–675 (1999)CrossRefGoogle Scholar
  4. 4.
    Polson, P.G., Lewis, C.H.: Theory-based design for easily learned interfaces, ICS Technical Report #88-16Google Scholar
  5. 5.
    Pirolli, P.L.T.: Information foraging theory: Adaptive interaction with information, vol. 2. Oxford University Press, USA (2007)CrossRefGoogle Scholar
  6. 6.
    Kitajima, M., Blackmon, M.H., Polson, P.G.: A Comprehension-based Model of Web Navigation and Its Application to Web Usability Analysis. In: McDonald, S., Waern, Y., Cockton, G. (eds.) People and Computers XIV - Usability or Else (Proceedings of HCI 2000), pp. 357–373. Springer (2000)Google Scholar
  7. 7.
    Juvina, I., Oostendorp, H., van, K.P., Pauw, B.: Toward Modeling Contextual Information in Web Navigation. In: XXVII Annual Conference of the Cognitive Science Society, Stresa, Italy (2005)Google Scholar
  8. 8.
    Juvina, I., van Oostendorp, H.: Modeling Semantic and Structural Knowledge in Web Navigation. Discourse Processess 45(4-5), 346–364 (2008)CrossRefGoogle Scholar
  9. 9.
    Landauer, T.K., Dumais, S.T.: A Solution to Plato’s Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. Psychological Review 104(2), 211–240 (1997)CrossRefGoogle Scholar
  10. 10.
    Landauer, T.K., Dumais, S.T.: A Solution to Plato’s Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. Psychological Review 104(2), 211–240 (1997)CrossRefGoogle Scholar
  11. 11.
    Pirolli, P., Fu, W.T.: SNIF-ACT: a model of information foraging on the World Wide Web. In: Brusilovsky, P., Corbett, A.T., de Rosis, F. (eds.) UM 2003. LNCS, vol. 2702, pp. 45–54. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  12. 12.
    Miller, C.S., Remington, R.W.: Modeling Information Navigation: Implications for Information Architecture. Human-Computer Interaction 19(3), 225–271 (2004)CrossRefGoogle Scholar
  13. 13.
    Brumby, D.P., Howes, A.: Good enough but I’ll just check: Web-page search as attentional refocusing. In: 6th Internal Conference on Cognitive Modeling (2004)Google Scholar
  14. 14.
    Salmerón, L., Kintsch, W., Kintsch, E.: Self-regulation and link selection strategies in hypertext. Discourse Processes 47(3), 175–211 (2010)CrossRefGoogle Scholar
  15. 15.
    Vigo, M., Harper, S.: Challenging Information Foraging Theory: Screen Reader Users are not Always Driven by Information Scent (2013)Google Scholar
  16. 16.
    Holzinger, A., Scherer, R., Ziefle, M.: Navigational user interface elements on the left side: intuition of designers or experimental evidence? In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011, Part II. LNCS, vol. 6947, pp. 162–177. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  17. 17.
    Karanam, S., van Oostendorp, H., Indurkhya, B.: A study on the role of non-hyperlink text on web navigation. Computer Science 13(3), 5–22 (2012)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Vamshi Velagapuri
    • 1
  • Suvarna Rekha
    • 1
  1. 1.Cognitive Science LabInternational Institute of Information TechnologyHyderabadIndia

Personalised recommendations