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A study on the role of non-hyperlink text on web navigation

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Cognitive models of web navigation have been used for evaluating websites and predicting user navigation behavior. Currently they predict the correct hyperlink by using information from the hyperlink text alone and ignore all other textual information on a webpage. The validity of this assumption is examined by investigating the role of non-hyperlink text on user navigation behavior. In the first experiment, we created two versions of a website by removing the non-hyperlink text from it. We found that there was no significant effect of non-hyperlink text on the user navigation behavior. Participants were equally accurate, selected the same set of pages to visit and spent the same amount of time on that common set with or without non-hyperlink text. This result validates the assumptions of those models of user-navigation behavior that consider information from the hyperlink text only. However, in a followup experiment, we included high-relevance and low-relevance pictures on the website, and repeated the experiment with and without non-hyperlink text. We found that participants were more accurate in the presence of non-hyperlink text than without it. This result suggests that the presence of pictures might prime the users to pay attention to non-hyperlink text, which increases the task accuracy.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Strony
5--22
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
  • Xerox Research Center India, Bangalore, India
  • Institute of Information and Computing Sciences, Utrecht University, Princetonplein 5, 3584 CC, Utrecht, The Netherlands
autor
  • AGH University of Science and Technology, Krakow, Poland
  • International Institute of Information Technology-Hyderabad, Hyderabad, India
Bibliografia
  • [1] Anderson J.: Act: A simple theory of complex cognition. American Psychologist, 51(4):355, 1996.
  • [2] Blackmon M., Kitajima M., Polson P.: Repairing usability problems identified by the cognitive walkthrough for the web. In Proc. of the SIGCHI conference on Human factors in computing systems, pp. 497–504. ACM, 2003.
  • [3] Blackmon M., Kitajima M., Polson P.: Tool for accurately predicting website navigation problems, non-problems, problem severity, and effectiveness of repairs. In Proc. of the SIGCHI conference on Human factors in computing systems, pp. 31–40. ACM, 2005.
  • [4] Blackmon M., Polson P., Kitajima M., Lewis C.: Cognitive walkthrough for the web. In Proc. of the SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves, pp. 463–470. ACM, 2002.
  • [5] Chi E., Pirolli P., Chen K., Pitkow J.: Using information scent to model user information needs and actions and the web. In Proc. of the SIGCHI conference on Human factors in computing systems, pp. 490–497. ACM, 2001.
  • [6] Chi E., Rosien A., Supattanasiri G., Williams A., Royer C., Chow C., Robles E., Dalal B., Chen J., Cousins S.: The bloodhound project: automating discovery of web usability issues using the infoscent simulator. In Proc. of the SIGCHI conference on Human factors in computing systems, p. 512. ACM, 2003.
  • [7] Juvina I., van Oostendorp H.: Enhancing internet experience of visually impaired persons by means of dynamic highlighting and selective reading. Information Design Journal, 14(1):71–81, 2006.
  • [8] Juvina I., van Oostendorp H.: Modeling semantic and structural knowledge in web navigation. Discourse Processes, 45(4–5):346–364, 2008.
  • [9] Karanam S., van Oostendorp H., Puerta Melguizo M., Indurkhya B.: Embedding semantic information from pictures into cognitive modelling of web-navigation. European Review of Applied Psychology, 2011.
  • [10] Kitajima M., Blackmon M., Polson P.: A comprehension-based model of web navigation and its application to web usability analysis. People and Computers, pp. 357–374, 2000.
  • [11] Landauer T., Foltz P., Laham D.: An introduction to latent semantic analysis. Discourse processes, 25(2–3):259–284, 1998.
  • [12] Olston C., Chi E.: Scenttrails: Integrating browsing and searching on the web. ACM Transactions on Computer-Human Interaction (TOCHI), 10(3):177–197, 2003.
  • [13] Pirolli P., Card S.: Information foraging. Psychological review, 106(4):643, 1999.
  • [14] Pirolli P., Fu W.: Snifact: A model of information foraging on the world wide web. User Modeling 2003, pp. 146–146, 2003.
  • [15] Protopsaltis A.: Reading strategies in hypertexts and factors influencing hyperlink selection. Journal of Educational Multimedia and Hypermedia, 17(2):191, 2008.
  • [16] Salmeron L., Kintsch W., Kintsch E.: Self-regulation and link selection strategies in hypertext. Discourse Processes, 47(3):175–211, 2010.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-AGH1-0031-0001
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