Volume 43 Issue 12
Dec.  2017
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TIAN Shujie, WANG Bo, WANG Li, et al. Workload evaluation model based on occupation of time and multi-resource[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2497-2504. doi: 10.13700/j.bh.1001-5965.2016.0896(in Chinese)
Citation: TIAN Shujie, WANG Bo, WANG Li, et al. Workload evaluation model based on occupation of time and multi-resource[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2497-2504. doi: 10.13700/j.bh.1001-5965.2016.0896(in Chinese)

Workload evaluation model based on occupation of time and multi-resource

doi: 10.13700/j.bh.1001-5965.2016.0896
Funds:

Foundation of National Key Laboratory of Human Factors Engineering SYFD130061813

Foundation of National Key Laboratory of Human Factors Engineering 160051812

The"13th Five-Year" Equipment Pre-research Fundation on Common Technology 41402060101

Manned Space Pre-research Foundation 030602

More Information
  • Corresponding author: WANG Bo, E-mail: wowbob@139.com
  • Received Date: 28 Nov 2016
  • Accepted Date: 06 Mar 2017
  • Publish Date: 20 Dec 2017
  • To measure and evaluate the astronauts' workload of on-orbit maintenance, based on timeline analysis and multi-resource theory, the subjective and objective comprehensive evaluation of the workload was carried out by using two dimensions of "indirect acquisition value of the resource demand occupancy rate" and "direct measurement value of the occupied time". A workload evaluation model based on dynamic time scene and time resource occupancy was put forward. In order to verify the effectiveness of the proposed model, the maintenance experiment of the liquid circuit subsystem, as a typical on-orbit maintenance task, was established. Testees were recruited to obtain the subjective workload questionnaires, maintenance videos were acquired, and the occupation time of therbligs was measured. The results reveal that the workload values of the proposed model have good agreement and significant correlation with subjective workload evaluation values. Hence the effectiveness of the workload evaluation model is validated.

     

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