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Affordable Eye Tracking for Informed Web Design

  • Jarrett W. Clark
  • A. Lucas Stephane
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10918)

Abstract

Eye tracking hardware and software can be used to analyze and improve websites. If conducting an eye tracking study is too costly, examining mouse movement data can also provide similar insights into user behavior as eye gaze data. Prior research has shown eye gaze and mouse cursor position can strongly correlate. The strength of the correlation, however, depends on the design of the website. It is important to determine if mouse tracking is a reliable substitute for eye tracking as new design patterns emerge. Today, there are low-cost eye tracking solutions available, enabling a wider audience to conduct their own eye-mouse correlation studies. In this paper, we use The Eye Tribe Eye Tracker and the analysis software, EyeProof, to find the relationship between eye gaze and mouse position on the Florida Institute of Technology Human-Centered Design Institute website. The results indicate that mouse tracking data may be a suitable substitute for eye tracking data on the studied website and it may be feasible to use consumer-grade eye tracking products to conduct similar assessments.

Keywords

Eye tracking Mouse tracking Web design Web analytics 

References

  1. 1.
    Buscher, G., Dumais, S.T., Cutrell, E.: The good, the bad, and the random: an eye-tracking study of ad quality in web search. In: Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2010), pp. 42–49. ACM, New York (2010)Google Scholar
  2. 2.
    Chen, M.-C., Anderson, J.R., Sohn, M.-H.: What can a mouse cursor tell us more? correlation of eye/mouse movements on web browsing. In: CHI 2001 Extended Abstracts on Human Factors in Computing Systems, pp. 281–282. ACM, New York (2001)Google Scholar
  3. 3.
    Cooke, L.: Is the mouse a “poor man’s eye tracker”? In: Proceedings of the 53rd Annual Conference of the Society for Technical Communication, pp. 252–255 (2006)Google Scholar
  4. 4.
    Dalmaijer, E.S.: Is the low-cost EyeTribe eye tracker any good for research? PeerJ PrePrints (2014). https://peerj.com/preprints/585v1.pdf. Accessed 8 Feb 2018
  5. 5.
    Gibaldi, A., Vanegas, M., Bex, P.J., Maiello, G.: Evaluation of the Tobii EyeX Eye tracking controller and Matlab toolkit for research. Behav. Res. Methods 49(3), 923–946 (2017)CrossRefGoogle Scholar
  6. 6.
    Goldberg, J.H., Kotval, X.P.: Computer interface evaluation using eye movements: methods and constructs. Int. J. Ind. Ergon. 24(6), 631–645 (1999)CrossRefGoogle Scholar
  7. 7.
    Guo, Q., Agichtein, E: Towards predicting web searcher gaze position from mouse movements. In: CHI 2010 Extended Abstracts on Human Factors in Computing Systems, pp. 3601–3606. ACM, New York (2010)Google Scholar
  8. 8.
    Ha, A.: The Eye Tribe says it’s shipping its first $99 eye-tracking units, raises another $1M. TechCrunch (2014). https://techcrunch.com/2014/01/08/the-eye-tribe/. Accessed 8 Feb 2018
  9. 9.
    Huang, J., White, R.W., Buscher, G.: User see, user point: Gaze and cursor alignment in web search. In: Proceedings of CHI 2012, pp. 1341–1350. ACM, New York (2012)Google Scholar
  10. 10.
    Liebling, D.J., Dumais, S.T.: Gaze and mouse coordination in everyday work. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 1141–1150. ACM, New York (2014)Google Scholar
  11. 11.
    Navalpakkam, V., et. al.: Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts. In: Proceedings of the 22nd International Conference on World Wide Web (WWW 2013), pp. 953–964. ACM, New York (2013)Google Scholar
  12. 12.
    Ooms, K., Dupont, L., Lapon, L., Popelka, S.: Accuracy and precision of fixation locations recorded with the low-cost Eye Tribe tracker in different experimental setups. J. Eye Mov. Res. 8(1), 1–24 (2015)Google Scholar
  13. 13.
    Popelka, S., Stachoň, Z., Šašinka, Č.: Doležalová1, J.: EyeTribe tracker data accuracy evaluation and its interconnection with hypothesis software for cartographic purposes. Comput. Intell. Neurosci. 2016(1), 1–14 (2016)CrossRefGoogle Scholar
  14. 14.
    Rodden, K., Fu, X.: Exploring how mouse movements relate to eye movements on web search results pages. In: Proceedings of ACM SIGIR 2007 Workshop on Web Information Seeking and Interaction, pp. 29–32. ACM, New York (2007)Google Scholar
  15. 15.
    Rodden, K., Fu, X., Aula, A., Spiro, I.: Eye-mouse coordination patterns on web search results pages. In: CHI 2008 Extended Abstracts on Human Factors in Computing Systems, pp. 2997–3002. ACM, New York (2008)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Florida Institute of TechnologyMelbourneUSA

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