Effects of task characteristics on unimanual and bimanual movement times.

Fitts' law cannot be used to predict movement times (MTs) of bimanual tasks since no empirical relationships associating task difficulty and bimanual MT have been demonstrated yet. Development of a ‘bimanual task difficulty index’ has been challenged by the complex patterns of coordination involved...

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Publicado en:Ergonomics Vol. 56; no. 4; pp. 612 - 623
Autores principales: Srinivasan, Divya, Martin, Bernard J., Reed, Matthew P.
Formato: pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Apr2013
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Effects of task characteristics on unimanual and bimanual movement times.
      aug:
        au:
          Srinivasan, Divya
          Martin, Bernard J.
          Reed, Matthew P.
        affil: Department of Industrial and Operations Engineering , University of Michigan , Ann Arbor , MI , USA; Department of Occupational and Public Health Sciences , Centre for Musculoskeletal Research, University of Gavle , 80176 , Gavle , Sweden
      sug:
        subj:
          Movement
          Ergonomics
          Task Performance and Analysis
          Hand
          Human
          Visual Perception
          Female
          Male
          Adult
          Eye Movements
          Videorecording
          Repeated Measures
          Analysis of Variance
          Adult: 19-44 years
          Female
          Male
      ab: Fitts' law cannot be used to predict movement times (MTs) of bimanual tasks since no empirical relationships associating task difficulty and bimanual MT have been demonstrated yet. Development of a ‘bimanual task difficulty index’ has been challenged by the complex patterns of coordination involved in simultaneously performing two tasks, one with each hand, under a control system with limited visual and attentional resources. To address this fundamental issue in human motor performance, bimanual object transfers with the left and right hands to targets of various precision requirements and separated by different distances were studied in six healthy subjects. Visual resource allocation during task performance was used to identify ‘primary’ and ‘secondary’ hand movements in bimanual tasks. While the primary movement was similar to a unimanual movement, the secondary MT varied with its own, as well as the contralateral hand's task constraints. These results, which were stable and consistent across six subjects, provide preliminary evidence that visual behaviour, indicating closed-loop control, can be used to systematically derive bimanual MTs. Practitioner summary: A simple extension of Fitts' law cannot be used to predict movement times (MTs) of bimanual tasks since there is no consensus on the definition of a ‘bimanual task difficulty index’ in the literature. In this paper, we have approached this problem by using visual resource allocation patterns to systematically derive bimanual MTs.
      pubtype: Academic Journal
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    language: English
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