Eye Tracking Analysis of User Behavior in Online Social Networks

  • Wan Adilah Wan Adnan
  • Wan Nur Hafizhoh Hassan
  • Natrah Abdullah
  • Jamaliah Taslim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8029)


Social network has become a global phenomenon which attracts a wide range of population from all around the world of different ages, and cultures. People are using online social networks for several purposes like sharing information, chatting with friends, sharing photos and commenting. However, the analysis of users’ behavior in social networks received little attention. Therefore, the purpose of this study is to analyze user behavior in terms of users’ activities in social network sites by adopting eye tracking techniques. Four main measurements were examined which includes the first place user looks, time spent on areas of interest, main activities and completion time. Results from eye tracking analysis based on the first place user looks and on the time duration have indicated that wallpost recorded most users’ attention. Results have shown that the main activity was reading friends’ status on the wall posts area. The findings provide support for the effort to understand and to model user behavior using eye tracking technique.


User Behavior Eye Tracking Analysis Social Networking Eye Movement data Experimental Study 


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  1. 1.
    Gyarmati, L., Trinh, T.A.: Measuring user behavior in online social networks. IEEE Network: The Magazine of Global Internetworking 24(5), 26–31 (2010)CrossRefGoogle Scholar
  2. 2.
    Ozturk, O., Rizvanoglu, K.: A Close Look at the Phenomenon: An Eye Tracking Study on the Usability of the Profile Pages in Social Networking Sites. In: Proceedings of International Symposium of Interactive Media Design, pp. 1–12 (2010)Google Scholar
  3. 3.
    Michailidou, E., Harper, S., Bechhofe, S.: Investigating Sighted Users’ Browsing Behaviour to Assist Web Accessibility. In: Proceedings of Tenth International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2008, pp. 121–128 (2008)Google Scholar
  4. 4.
    Horng, S.M.: Analysis of Users’ Behavior on Web 2.0 Social Network Sites: An Empirical Study. In: Proceedings of Seventh International Conference on Information Technology, pp. 454–459 (2010)Google Scholar
  5. 5.
    Boyd, D.M., Ellison, N.B.: Social Network Sites: Definition, History, and Scholarship. Journal of Computer-Mediated Communication, 1–12 (2007)Google Scholar
  6. 6.
    Fox, D., Naidu, S.: Usability Evaluation of Three Social Network Sites. Usability News, 1–11 (2009)Google Scholar
  7. 7.
    Acquisti, A., Bryce, J., Collier, A., Farmer, J., Grant, L., Kelly, B.: Young People and Social Networking Services. Childnet International 2008, United Kingdom (2008)Google Scholar
  8. 8.
    Hampton, K.N., Goulet, L.S., Rainie, L., Purcell, K.: Social networking sites and our lives. pewinternet. org. Washington (2011)Google Scholar
  9. 9.
    Lorigo, L., Haridasan, M., Brynjarsdottir, H., Xia, L., Pallacini, F., Granka, L., Pan, B.: Eye tracking and online search: Lessons learned and challenges ahead. Journal of the American Society for Information Science and Technology 59(7), 1041–1052 (2008)CrossRefGoogle Scholar
  10. 10.
    Carlo, C.G., Marco, M.C.: Different Users and Intents: An Eye-tracking Analysis of Web Search. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining (WSDM 2011), pp. 262–267 (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Wan Adilah Wan Adnan
    • 1
  • Wan Nur Hafizhoh Hassan
    • 1
  • Natrah Abdullah
    • 1
  • Jamaliah Taslim
    • 1
  1. 1.Faculty of Computer and Mathematical SciencesUniversitiTeknologi MARAMalaysia

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