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Intermittent Control as a Model of Mouse Movements

Published: 20 August 2021 Publication History

Abstract

We present Intermittent Control (IC) models as a candidate framework for modelling human input movements in Human–Computer Interaction (HCI). IC differs from continuous control in that users are not assumed to use feedback to adjust their movements continuously, but only when the difference between the observed pointer position and predicted pointer positions becomes large. We use a parameter optimisation approach to identify the parameters of an intermittent controller from experimental data, where users performed one-dimensional mouse movements in a reciprocal pointing task. Compared to previous published work with continuous control models, based on the Kullback–Leibler divergence from the experimental observations, IC is better able to generatively reproduce the distinctive dynamical features and variability of the pointing task across participants and over repeated tasks. IC is compatible with current physiological and psychological theory and provides insight into the source of variability in HCI tasks.

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    cover image ACM Transactions on Computer-Human Interaction
    ACM Transactions on Computer-Human Interaction  Volume 28, Issue 5
    October 2021
    308 pages
    ISSN:1073-0516
    EISSN:1557-7325
    DOI:10.1145/3481685
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    Publication History

    Published: 20 August 2021
    Accepted: 01 April 2021
    Revised: 01 February 2021
    Received: 01 June 2020
    Published in TOCHI Volume 28, Issue 5

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    1. Control theory
    2. modelling
    3. pointing
    4. intermittent control

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