Workload in Human-Robot Interaction: A Review of Manipulations and Outcomes
Matthew S. Prewett, Kristin N. Saboe, Ryan C. Johnson, Michael D. Coovert, Linda R. Elliott
- Year
- 2009
- Citations
- 7
Abstract
The current study reviews the relationship between manipulations of teleoperator workload and task outcomes, using multiple resource theory as the underlying framework. Results indicated that controlling more than two platforms is detrimental to many performance indices (reaction time, error rate), but overall productivity improves. For studies that manipulated workload for a single robot task, visual demands were a limiting factor, and interventions which reduced visual demands improved performance. The review concludes with guiding principles for managing workload and improving teleoperator performance.
Keywords
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