Literature DB >> 8681935

Effects of control order, augmented feedback, input device and practice on tracking performance and perceived workload.

P A Hancock1.   

Abstract

Virtual interfaces to advanced human-machine systems will present operators with a variety of perceptual-motor challenges. To inform the virtual interface design processes, the present experiments examined the effects of track order, level of knowledge of performance, type of control device, and the extent of practice on tracking performance and associated mental workload. Tracking was assessed by root mean square error. Subjective workload was measured using both the NASA Task Load Index (TLX) and the Subjective Workload Assessment Technique (SWAT). Results indicated non-linear effects, where tracking error and subjective workload both increased non-proportionally with track order. Trackball use resulted in more accurate performance and was judged to be of lower subjective workload than input using a mouse. Augmented knowledge of performance had little effect on either performance or workload. There was a number of interactions affecting performance that were replicated in perceived workload. Over acquisition trials, second-order tracking exhibited continuous improvement. This capability was retained even after a 30-day rest interval. Decrease a workload followed performance improvement in both initial acquisition and subsequent retention phases. The two subjective workload scales were essentially equivalent in terms of their sensitivity to task manipulations. These results support the direct association between workload and performance and confirms the use of workload in helping to evaluate the influence of diverse task-related demands. The implications for the design of virtual interfaces to real-world systems are examined in the light of these findings.

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Year:  1996        PMID: 8681935     DOI: 10.1080/00140139608964535

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  2 in total

1.  Using Direct and Indirect Input Devices: Attention Demands and Age-Related Differences.

Authors:  Anne Collins McLaughlin; Wendy A Rogers; Arthur D Fisk
Journal:  ACM Trans Comput Hum Interact       Date:  2009-04       Impact factor: 2.351

2.  A comparative study of input devices for digital slide navigation.

Authors:  Jesper Molin; Claes Lundström; Morten Fjeld
Journal:  J Pathol Inform       Date:  2015-02-24
  2 in total

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