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Predicting Touch Accuracy for Rectangular Targets by Using One-Dimensional Task Results

Published: 14 November 2022 Publication History
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  • Abstract

    We propose a method that predicts the success rate in pointing to 2D rectangular targets by using 1D vertical-bar and horizontal-bar task results. The method can predict the success rates for more practical situations under fewer experimental conditions. This shortens the duration of experiments, thus saving costs for researchers and practitioners. We verified the method through two experiments: laboratory-based and crowdsourced ones. In the laboratory-based experiment, we found that using 1D task results to predict the success rate for 2D targets slightly decreases the prediction accuracy. In the crowdsourced experiment, this method scored better than using 2D task results. Thus, we recommend that researchers use the method properly depending on the situation.

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        cover image Proceedings of the ACM on Human-Computer Interaction
        Proceedings of the ACM on Human-Computer Interaction  Volume 6, Issue ISS
        December 2022
        746 pages
        EISSN:2573-0142
        DOI:10.1145/3554337
        Issue’s Table of Contents
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        Publication History

        Published: 14 November 2022
        Published in PACMHCI Volume 6, Issue ISS

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        Author Tags

        1. Touch accuracy
        2. performance modeling
        3. touch-point distribution

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