Skip to main content

The Eye Tracking Methods in User Interfaces Assessment

  • Conference paper
  • First Online:
Intelligent Decision Technologies (IDT 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 39))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Tidwell, J.: Designing Interfaces: Patterns for Effective Interaction Design. O’Reilly Media, Dec 2010

    Google Scholar 

  2. Bahadur, S., Sagar, B.K.: User interface design with visualization techniques. Int. J. Res. Eng. Appl. Sci. 2(6) (2012)

    Google Scholar 

  3. Hornbæk, K.: Current practice in measuring usability: challenges to usability studies and research. Int. J. Hum. Comput. Stud. 64(2), 79–102 (2006)

    Article  Google Scholar 

  4. 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

    Google Scholar 

  5. Hilbert, D.M., Redmiles, D.F.: Extracting usability information from user interface events. ACM Comput. Surv. 32(4), 384–421 (2000)

    Article  Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. 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)

    Google Scholar 

  8. 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

    Google Scholar 

  9. 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

    Google Scholar 

  10. 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)

    Google Scholar 

  11. 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)

    Google Scholar 

  12. McCarthy, J.D., Sasse, M.A., Riegelsberger, J.: The geometry of web search. In: Proceedings of HCI2004. Leeds, UK, 6–10 Sep 2004

    Google Scholar 

  13. 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)

    Google Scholar 

  14. Harężlak, K., Kasprowski, P., Stasch, M.: Towards accurate eye tracker calibration—methods and procedures. Procedia Comput. Sci. 35, 1073–1081 (2014) (Elsevier)

    Google Scholar 

  15. 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)

    Google Scholar 

  16. 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)

    Google Scholar 

  17. 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)

    Google Scholar 

  18. Blignaut, P.: Fixation identification: the optimum threshold for a dispersion algorithm. Attention Percept. Psychophysics 71(4), 881–895 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Katarzyna Harezlak .

Editor information

Editors and Affiliations

Rights and permissions

Reprints 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)

Publish with us

Policies and ethics