Abstract
Acquiring basic information about the user’s needs, is one of the most important problem which a user interface designer has to face. It influences the selection of the design patterns which match the user’s requirements. Most frequently lots of possible solutions could be found and the appropriate choice has to be done. The results from some previously conducted research regarding human–computer interaction proved that collecting and analysing the eye movement data may be useful in the user interfaces assessment as well. The aim of the preliminary studies presented in this paper was to analyse to what extent the eye tracing methods and eye movement metrics can support the process of user interfaces’ assessment and how this process can be automated.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tidwell, J.: Designing Interfaces: Patterns for Effective Interaction Design. O’Reilly Media, Dec 2010
Bahadur, S., Sagar, B.K.: User interface design with visualization techniques. Int. J. Res. Eng. Appl. Sci. 2(6) (2012)
Hornbæk, K.: Current practice in measuring usability: challenges to usability studies and research. Int. J. Hum. Comput. Stud. 64(2), 79–102 (2006)
Badashian, A.S., Mahdavi, M., Pourshirmohammadi, A., Monajjemi nejad, M.: Fundamental usability guidelines for user interface design. In: Proceedings of the 2008 International Conference on Computational Sciences and its Applications (ICCSA’08). IEEE Computer Society, pp. 106–113. Washington, DC, USA
Hilbert, D.M., Redmiles, D.F.: Extracting usability information from user interface events. ACM Comput. Surv. 32(4), 384–421 (2000)
Ivory, M.Y., Hearst, M.A.: The state of the art in automating usability evaluation of user interfaces. ACM Comput. Surv. 33(4), 470–516 (2001)
Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., van de Weijer, J.: Eye Tracking A Comprehensive Guide to Methods and Measures. Oxford University Press, Oxford (2011)
Goldberg, J.H., Stimson, M.J., Lewenstein, M., Scott, N., Wichansky, A.M.: Eye tracking in web search tasks: design implications. In: Proceedings of the 2002 symposium on Eye tracking research & applications (ETRA ’02), pp. 51–58. ACM, New York, NY, USA
Cutrell, E., Guan, Z.: What are you looking for?: an eye-tracking study of information usage in web search. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’07), pp. 407–416. ACM, New York, NY, USA
Cowen, L., Ball, L.J., Delin, J.: An eye-movement analysis of web-page usability. In: People and Computers XVI—Memorable yet Invisible: Proceedings of HCI 2002, pp. 317–335. Springer, London (2002)
Ehmke, C., Wilson, S.: Identifying web usability problems from eyetracking data. In: Paper presented at the British HCI conference 2007. University of Lancaster (3-7 Sept 2007)
McCarthy, J.D., Sasse, M.A., Riegelsberger, J.: The geometry of web search. In: Proceedings of HCI2004. Leeds, UK, 6–10 Sep 2004
Kasprowski, P., Harężlak, K., Stasch, M.: Guidelines for the eye tracker calibration using points of regard. Information Technologies in Biomedicine, vol. 4. Advances in Intelligent Systems and Computing, vol. 284, pp. 225–236. Springer (2014)
Harężlak, K., Kasprowski, P., Stasch, M.: Towards accurate eye tracker calibration—methods and procedures. Procedia Comput. Sci. 35, 1073–1081 (2014) (Elsevier)
Poole, A., Ball, L.J., Poole, A., Ball, L.J.: Eye Tracking in Human-Computer Interaction and Usability Research: Current Status and Future Prospects in Encyclopedia of Human Computer Interaction. IGI Global, Hershey (2005)
Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. In: Proceedings of the 2000 Symposium on Eye Tracking Research and Applications, pp. 71–78. ACM Press, NY (2000)
Shic, F., Chawarska, K., Scassellati, B.: The incomplete fixation measure. In: Proceedings of the 2008 Symposium on Eye Tracking Research and Applications, pp. 111–114. ACM Press, NY (2008)
Blignaut, P.: Fixation identification: the optimum threshold for a dispersion algorithm. Attention Percept. Psychophysics 71(4), 881–895 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Harezlak, K., Rzeszutek, J., Kasprowski, P. (2015). The Eye Tracking Methods in User Interfaces Assessment. In: Neves-Silva, R., Jain, L., Howlett, R. (eds) Intelligent Decision Technologies. IDT 2017. Smart Innovation, Systems and Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-19857-6_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-19857-6_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19856-9
Online ISBN: 978-3-319-19857-6
eBook Packages: EngineeringEngineering (R0)