title: Verification of models for ballistic movement time and endpoint variability.
abstract: A hand control movement is composed of several ballistic movements. The time required in performing a ballistic movement and its endpoint variability are two important properties in developing movement models. The purpose of this study was to test potential models for predicting these two properties. Twelve participants conducted ballistic movements of specific amplitudes using a drawing tablet. The measured data of movement time and endpoint variability were then used to verify the models. This study was successful with Hoffmann and Gan's movement time model (Hoffmann, 1981; Gan and Hoffmann 1988) predicting more than 90.7% data variance for 84 individual measurements. A new theoretically developed ballistic movement variability model, proved to be better than Howarth, Beggs, and Bowden's (1971) model, predicting on average 84.8% of stopping-variable error and 88.3% of aiming-variable errors. These two validated models will help build solid theoretical movement models and evaluate input devices.
  This article provides better models for predicting end accuracy and movement time of ballistic movements that are desirable in rapid aiming tasks, such as keying in numbers on a smart phone. The models allow better design of aiming tasks, for example button sizes on mobile phones for different user populations.
authors.affiliation: Department of Industrial Engineering and Management, Yuan Ze University, Chung-Li, Taiwan. juifeng@saturn.yzu.edu.tw
authors.forename: Ray F
authors.initials: RF
authors.lastname: Lin
authors.forename: Colin G
authors.initials: CG
authors.lastname: Drury
mesh_terms: D000328:Adult; D023381:Endpoint Determination / Q000379:methods; D004867:Equipment Design; D005260:Female; D006225:Hand; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D009048:Motor Skills / Q000502:physiology*; D009068:Movement; D052580:Muscle Stretching Exercises; D015203:Reproducibility of Results; D012984:Software; D013647:Task Performance and Analysis