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Web Usability and Eyetracking

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Eye Movement Research

Abstract

Eyetracking is one of several methodological tools researchers can employ when they need to evaluate in how far an interface or environment is amenable to a users’ tasks or action goals. This chapter provides an introduction to the field of web usability, what user research looks like, and how it is embedded in an applied research and design setting. We will then describe and discuss when and how eyetracking is useful as a methodology for measuring aspects of web usability, and what it can tell us about the interplay between users and interface. Different eyetracking measures are explained in the context of how they can help the research team to make inferences about users’ mental states and experience, and how these may be used to improve the interface design. This includes a discussion of some “myths” or common misconceptions about eyetracking in usability studies. A few brief case studies are given to illustrate eyetracking in applied web usability research.

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References

  • Alshammari, T., Alhadreti, O., & Mayhew, P. (2015). When to ask participants to think aloud: A comparative study of concurrent and retrospective think-aloud methods. International Journal of Human Computer Interaction, 6(3), 48–64.

    Google Scholar 

  • Bias, R. G., & Mayhew, D. J. (2005). Cost-justifying usability: An update for an internet age. Burlington: Morgan Kaufmann.

    Google Scholar 

  • Bojko, A. (2013). Eye tracking the user experience: A practical guide to research (1st ed.). Brooklyn, NY: Rosenfeld Media.

    Google Scholar 

  • Brookings, J. B., Wilson, G. F., & Swain, C. R. (1996). Psychophysiological responses to changes in workload during simulated air traffic control. Biological Psychology, 42(3), 361–377.

    Article  PubMed  Google Scholar 

  • Bruneau, D., Sasse, M. A., & McCarthy, J. D. (2002). The eyes never lie: The use of eye tracking data in HCI research. In Proceedings of the CHI (Vol. 2, p. 25). Retrieved from http://hornbeam.cs.ucl.ac.uk/hcs/people../documents/Angela%20Publications/2002/CHI_Physio.computing_Final%20(1)_revised.pdf.

  • Card, S. K., Newell, A., & Moran, T. P. (1983). The psychology of human-computer interaction. Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Chen, M. C., Anderson, J. R., & Sohn, M. H. (2001). What can a mouse cursor tell us more? Correlation of eye/mouse movements on web browsing. In CHI ’01 Extended Abstracts on Human Factors in Computing Systems (pp. 281–282). New York, NY: ACM. https://doi.org/10.1145/634067.634234.

  • Cheng, S. (2011). The research framework of eye-tracking based mobile device usability evaluation. In Proceedings of the 1st International Workshop on Pervasive Eye Tracking & Mobile Eye-Based Interaction (pp. 21–26). New York, NY: ACM. https://doi.org/10.1145/2029956.2029964.

  • Clients—What our clients say about us and our work. (n.d.). Retrieved May 10, 2015, from http://www.bunnyfoot.com/about/clients/.

  • Cowen, L., Ball, L. J., & Delin, J. (2002). An eye movement analysis of web page usability. In People and Computers XVI-Memorable yet Invisible (pp. 317–335). Berlin: Springer.

    Google Scholar 

  • Definitions of User Experience and Usability. (n.d.). Retrieved May 10, 2015, from https://uxpa.org/resources/definitions-user-experience-and-usability.

  • Dumas, J. S., & Redish, J. C. (1999). A practical guide to usability testing (Rev Sub edition). Exeter; Portland, or: Intellect Ltd.

    Google Scholar 

  • Eger, N., Ball, L. J., Stevens, R., & Dodd, J. (2007). Cueing retrospective verbal reports in usability testing through eye-movement replay (pp. 129–137). Presented at the Proceedings of the 21st British HCI Group Annual Conference on People and Computers: HCI… but not as we know it (Vol. 1). British Computer Society.

    Google Scholar 

  • Ehmke, C., & Wilson, S. (2007). Identifying web usability problems from eye-tracking data. In Proceedings of the 21st British HCI Group Annual Conference on People and Computers: HCI…But Not As We Know It (Vol. 1, pp. 119–128). Swinton: British Computer Society. Retrieved from http://dl.acm.org/citation.cfm?id=1531294.1531311.

  • Elling, S., Lentz, L., & de Jong, M. (2011). Retrospective think-aloud method: Using eye movements as an extra cue for participants’ verbalizations. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1161–1170). New York, NY: ACM.

    Google Scholar 

  • Ericsson, K. A., & Simon, H. A. (1998). How to study thinking in everyday life: Contrasting think-aloud protocols with descriptions and explanations of thinking. Mind, Culture, and Activity, 5(3), 178–186.

    Article  Google Scholar 

  • Fitts, P. M., Jones, R. E., & Milton, J. L. (1950). Eye movements of aircraft pilots during instrument-landing approaches. Aeronautical Engineering Review, 9(2), 24–29.

    Google Scholar 

  • Gilb, T. (1998). Optimizing software inspections. Crosstalk, 3.

    Google Scholar 

  • Goldberg, J. H., & Kotval, X. P. (1999). Computer interface evaluation using eye movements: Methods and constructs. International Journal of Industrial Ergonomics, 24(6), 631–645.

    Article  Google Scholar 

  • Goldberg, J. H., Stimson, M. J., Lewenstein, M., Scott, N., & Wichansky, A. M. (2002). Eye tracking in web search tasks: Design implications. In Proceedings of the 2002 Symposium on Eye Tracking Research & Applications (pp. 51–58). New York, NY: ACM.

    Google Scholar 

  • Goldberg, J. H., & Wichansky, A. M. (2003). Eye tracking in usability evaluation: A practitioner’s guide. In J. Hyönä, R. Radach, & H. Deubel (Eds.), The mind’s eye: Cognitive and applied aspects of eye movement research (pp. 493–516). Amsterdam: Elsevier.

    Google Scholar 

  • Guan, Z., Lee, S., Cuddihy, E., & Ramey, J. (2006). The validity of the stimulated retrospective think-aloud method as measured by eye tracking. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1253–1262). New York, NY: ACM.

    Google Scholar 

  • Hoffman, J. E. (1998). Visual attention and eye movements. Attention, 31, 119–153.

    Google Scholar 

  • Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., & van de Weijer, J. (2011). Eye Tracking: A comprehensive guide to methods and measures (1st ed.). Oxford; New York: OUP Oxford.

    Google Scholar 

  • Huang, J., White, R., & Buscher, G. (2012). User see, user point: Gaze and cursor alignment in web search. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1341–1350). New York, NY: ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2208591.

  • ISO 9241-11: Ergonomic requirements for office work with visual display terminals (VDTs)—Part 11: Guidance on usability. (1998).

    Google Scholar 

  • Jacob, R. J., & Karn, K. S. (2003). Eye tracking in human-computer interaction and usability research: Ready to deliver the promises. Mind, 2(3), 4.

    Google Scholar 

  • Jones, A., & Thoma, V. (2019). Determinants for successful Agile collaboration between UX designers and software developers in a complex organisation. International Journal of Human–Computer Interaction, 1–22.

    Google Scholar 

  • Józsa, E. (2011). A potential application of pupillometry in web-usability research. Social and Management Sciences, 18(2), 109–115.

    Google Scholar 

  • Just, M. A., & Carpenter, P. A. (1976). Eye fixations and cognitive processes. Cognitive Psychology, 8(4), 441–480.

    Article  Google Scholar 

  • Klein, C., Betz, J., Hirschbuehl, M., Fuchs, C., Schmiedtová, B., Engelbrecht, M., … Rosenberg, R. (2014). Describing art—An interdisciplinary approach to the effects of speaking on gaze movements during the beholding of paintings. PLoS ONE, 9(12), e102439. https://doi.org/10.1371/journal.pone.0102439.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kuniavsky, M. (2010). Smart things: Ubiquitous computing user experience design. Amsterdam: Elsevier.

    Google Scholar 

  • Kuniavsky, M., Goodman, E., & Moed, A. (2012). Observing the user experience: A practitioner’s guide to user research (2nd ed.). Amsterdam; Boston, MA: Morgan Kaufmann.

    Google Scholar 

  • Lavie, N., Lin, Z., Zokaei, N., & Thoma, V. (2009). The role of perceptual load in object recognition. Journal of Experimental Psychology: Human Perception and Performance, 35(5), 1346–1358. https://doi.org/10.1037/a0016454.

    Article  PubMed  Google Scholar 

  • Marshall, S. P. (2002). The index of cognitive activity: Measuring cognitive workload. In Proceedings of the 2002 IEEE 7th Conference on Human Factors and Power Plants, 2002 (pp. 7-5–7-9). https://doi.org/10.1109/HFPP.2002.1042860.

  • Mitzner, T. L., Touron, D. R., Rogers, W. A., & Hertzog, C. (2010). Checking it twice: Age-related differences in double checking during visual search. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 54, pp. 1326–1330). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Nielsen, J., & Gilutz, S. (2003). Usability return on investment. Fremont, CA: Nielsen Norman Group.

    Google Scholar 

  • Nielsen, J., & Molich, R. (1990). Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 249–256). New York, NY: ACM. https://doi.org/10.1145/97243.97281.

  • Nielsen, J., & Pernice, K. (2009). Eyetracking web usability (1st ed.). Berkeley, CA: New Riders.

    Google Scholar 

  • Norman, D. A. (1988). The psychology of everyday things. New York, NY: Basic Books.

    Google Scholar 

  • Petrie, H., & Bevan, N. (2009). The evaluation of accessibility, usability and user experience. The Universal Access Handbook, 10–20.

    Google Scholar 

  • Pomplun, M., & Sunkara, S. (2003). Pupil dilation as an indicator of cognitive workload in human-computer interaction. In Proceedings of the International Conference on HCI.

    Google Scholar 

  • Poole, A., & Ball, L. J. (2006). Eye tracking in HCI and usability research. Encyclopedia of Human Computer Interaction, 1, 211–219.

    Article  Google Scholar 

  • Rayner, K., & Pollatsek, A. (1989). The psychology of reading (Reprint). New York, NY: Routledge.

    Google Scholar 

  • Reichle, E. D., Pollatsek, A., Fisher, D. L., & Rayner, K. (1998). Toward a model of eye movement control in reading. Psychological Review, 105(1), 125–157. https://doi.org/10.1037/0033-295X.105.1.125.

    Article  PubMed  Google Scholar 

  • Rogers, Y., Sharp, H., & Preece, J. (2011). Interaction design: Beyond human—Computer interaction. Hoboken, NJ: Wiley.

    Google Scholar 

  • Rubin, J., & Chisnell, D. (2010). Handbook of usability testing: How to plan, design, and conduct effective tests. Hoboken, NJ: Wiley.

    Google Scholar 

  • Sauro, J., & Lewis, J. R. (2012). Quantifying the user experience: Practical statistics for user research. Amsterdam; Waltham, MA: Morgan Kaufmann Publishers Inc.

    Google Scholar 

  • Shneiderman, B. (1986). Designing the user interface: Strategies for effective human-computer interaction. Addison-Wesley Longman Publishing Co., Inc. Retrieved from http://portal.acm.org/citation.cfm?id=6682.

  • Shneiderman, S. B., & Plaisant, C. (2005). Designing the user interface (4th ed.). Hoboken, NJ: Pearson Addison Wesley.

    Google Scholar 

  • Simons, D. J., & Chabris, C. F. (1999). Gorillas in our midst: Sustained inattentional blindness for dynamic events. Perception, 28(9), 1059–1074.

    Google Scholar 

  • Stone, D., Jarrett, C., Woodroffe, M., & Minocha, S. (2005). User interface design and evaluation. Amsterdam; Boston, MA: Morgan Kaufmann.

    Google Scholar 

  • Task Scenarios for Usability Testing. (n.d.). Retrieved May 11, 2015, from http://www.nngroup.com/articles/task-scenarios-usability-testing/.

  • Thoma, V., Davidoff, J., & Hummel, J. (2007). Priming of plane-rotated objects depends on attention and view familiarity. Visual Cognition, 15(2), 179–210. https://doi.org/10.1080/13506280500155627.

    Article  Google Scholar 

  • Thoma, V., & Henson, R. N. (2011). Object representations in ventral and dorsal visual streams: fMRI repetition effects depend on attention and part-whole configuration. NeuroImage, 57(2), 513–525. https://doi.org/10.1016/j.neuroimage.2011.04.035.

    Article  PubMed  Google Scholar 

  • Thoma, V., Hummel, J. E., & Davidoff, J. (2004). Evidence for holistic representations of ignored images and analytic representations of attended images. Journal of Experimental Psychology: Human Perception and Performance, 30(2), 257–267. https://doi.org/10.1037/0096-1523.30.2.257.

    Article  PubMed  Google Scholar 

  • Thoma, V., & Lavie, N. (2013). Perceptual load effects on processing distractor faces indicate face-specific capacity limits. Visual Cognition, 1–24. https://doi.org/10.1080/13506285.2013.853717.

    Article  Google Scholar 

  • Thoma, V., & Williams, B. (2009). Developing and validating personas in e-Commerce: A heuristic approach. In Lecture notes in computer science (pp. 527–531).

    Google Scholar 

  • Tullis, T., & Albert, B. (2013). Measuring the user experience: Collecting, analyzing, and presenting usability metrics (2nd ed.). Amsterdam; Boston, MA: Elsevier/Morgan Kaufmann.

    Google Scholar 

  • UsabilityNet: Methods table. (n.d.). Retrieved May 10, 2015, from http://www.usabilitynet.org/tools/methods.htm.

  • What Is User Experience Design? Overview, Tools And Resources. (n.d.). Retrieved May 10, 2015, from http://www.smashingmagazine.com/2010/10/05/what-is-user-experience-design-overview-tools-and-resources/.

  • Willis, L. M., & McDonald, S. (2016). Retrospective protocols in usability testing: A comparison of Post-session RTA versus Post-task RTA reports. Behaviour & Information Technology, 35(8), 628–643. https://doi.org/10.1080/0144929X.2016.1175506.

    Article  Google Scholar 

  • Yarbus, A. L. (1967). Eye movements and vision. New York, NY: Plenum Press.

    Book  Google Scholar 

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Correspondence to Volker Thoma .

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Thoma, V., Dodd, J. (2019). Web Usability and Eyetracking. In: Klein, C., Ettinger, U. (eds) Eye Movement Research. Studies in Neuroscience, Psychology and Behavioral Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-20085-5_21

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