Skip to content

Research at St Andrews

Perceptual usability: Predicting changes in visual interfaces & designs due to visual acuity differences

Research output: Contribution to conferencePaper



Mike Bennett, Aaron Quigley

School/Research organisations


When designing interfaces and visualizations how does a human or automatic visual interface designer know how easy or hard it will be for viewers to see the interface? In this paper we present a perceptual usability measure of how easy or hard visual designs are to see when viewed over different distances. The measure predicts the relative perceivability of sub-parts of a visual design by using simulations of human visual acuity coupled with an information theoretic measure. We present results of the perceptual measure predicting the perceivability of optometrists eye charts, a webpage and a small network graph.



Original languageEnglish
Number of pages4
Publication statusPublished - 15 Dec 2008
EventWorking Conference on Advanced Visual Interfaces, AVI 08 - Naples, Italy
Duration: 28 May 200830 May 2008


ConferenceWorking Conference on Advanced Visual Interfaces, AVI 08

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Breathin: a breath pattern sensing approach for user computer interaction

    Hundia, R. & Quigley, A., 2 Dec 2019, OZCHI'19: Proceedings of the 31st Australian Conference on Human-Computer-Interaction. New York: ACM, p. 581-584

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. SnapChart: an augmented reality analytics toolkit to enhance interactivity in a collaborative environment

    Jing, A., Xiang, C., Kim, S., Billinghurst, M. & Quigley, A., 14 Nov 2019, Proceedings - VRCAI 2019: 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry. Spencer, S. N. (ed.). New York: Association for Computing Machinery, Inc, 2 p. 55

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Making waves and combining strands at CHI 2021

    Sari, E., Quigley, A. & Kitamura, Y., Nov 2019, In : Interactions. 26, 6, p. 84-85 2 p.

    Research output: Contribution to journalComment/debate

  4. Opisthenar: hand poses and finger tapping recognition by observing back of hand using embedded wrist camera

    Yeo, H. S., Wu, E., Lee, J., Quigley, A. J. & Koike, H., 17 Oct 2019, Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST 2019). New York: ACM, p. 963-971 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Special issue on highlights of ACM intelligent user interface (IUI) 2018

    Billinghurst, M., Burnett, M. & Quigley, A., 1 Oct 2019, In : ACM Transactions on Interactive Intelligent Systems. 10, 1, 1.

    Research output: Contribution to journalEditorial

ID: 255436401