Quantifying the effects of reduced update rate on motor performance and user experience

Sung Hun Sim, Bing Wu, Kyle Brady, Andinet Enquobahrie, Ricardo Ortiz, Sreekanth Arikatla

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

    Abstract

    We report two experiments that investigated the impact of reduced visual updating speed on users’ motor performance in a Fitts’-law task. The update rate of visual feedback was set between 10 and 30 Hz. In Experiment 1, the trials were blocked by update rate, allowing participants to get adapted to the reduced visual feedback. In Experiment 2, all trials of different update rates were intermixed and presented in random order. Both experiments found that movement time increased with decreasing update rate. Regression analyses revealed that the Fitts’-law model could be extended to accommodate the findings by including a multiplicative component of frame interval (reciprocal of update rate). The participants’ subjective experience reduced rapidly when the update rate was lower than 20 Hz, and the rating data could be modelled using movement time. The results were discussed in the context of implications for developing VR/AR applications.

    Original languageEnglish (US)
    Title of host publicationAdvances in Ergonomics Modeling, Usability
    PublisherSpringer Verlag
    Pages255-265
    Number of pages11
    Volume486
    ISBN (Print)9783319416847
    DOIs
    StatePublished - 2017
    EventInternational Conference on Ergonomics Modeling, Usability and Special Populations, AHFE 2016 - Walt Disney World, United States
    Duration: Jul 27 2016Jul 31 2016

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume486
    ISSN (Print)21945357

    Other

    OtherInternational Conference on Ergonomics Modeling, Usability and Special Populations, AHFE 2016
    CountryUnited States
    CityWalt Disney World
    Period7/27/167/31/16

    Keywords

    • Feedback delay
    • Fitts’ law
    • Human performance modeling
    • Update rate

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Computer Science(all)

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  • Cite this

    Sim, S. H., Wu, B., Brady, K., Enquobahrie, A., Ortiz, R., & Arikatla, S. (2017). Quantifying the effects of reduced update rate on motor performance and user experience. In Advances in Ergonomics Modeling, Usability (Vol. 486, pp. 255-265). (Advances in Intelligent Systems and Computing; Vol. 486). Springer Verlag. https://doi.org/10.1007/978-3-319-41685-4_23