Structure of Hand/Mouse Movements

Yu Chen, Errol R. Hoffmann, Ravindra S. Goonetilleke

    Research output: Contribution to journalArticlepeer-review

    18 Scopus citations

    Abstract

    This study investigated the distribution of movement time (MT) and submovement time as a function of Fitts' index of difficulty (ID) to help understand the underlying mechanisms of Fitts' law. Many previous studies have shown that movements in such a task can be broken into a series of submovements, but have not been able to account for the variation of MT with ID under different conditions and for different tasks. The trajectory of computer mouse movements was recorded and analyzed to identify the distribution of submovements and MTs. The movement trajectory consists of a series of submovements with predictable probabilities. The first submovement is ballistic in nature and has an initiation time proportional to the movement amplitude. The verification time is dependent on target size. The probabilities of occurrence of each submovement can account for the variations in MT. The developed method has application to the evaluation of computer input devices, as the structure of the movement shows the ability of a person to control a device to minimize the time for movement.

    Original languageBritish English
    Article number7118205
    Pages (from-to)790-798
    Number of pages9
    JournalIEEE Transactions on Human-Machine Systems
    Volume45
    Issue number6
    DOIs
    StatePublished - Dec 2015

    Keywords

    • Ballistic movement
    • Fitts' law
    • index of difficulty
    • motor control
    • movement time (MT)
    • submovements

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