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Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management

Authors :
Han, Zhao
Norton, Adam
McCann, Eric
Baraniecki, Lisa
Ober, Will
Shane, Dave
Skinner, Anna
Yanco, Holly A.
Source :
2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 3858-3864
Publication Year :
2021

Abstract

Robot interfaces often only use the visual channel. Inspired by Wickens' Multiple Resource Theory, we investigated if the addition of audio elements would reduce cognitive workload and improve performance. Specifically, we designed a search and threat-defusal task (primary) with a memory test task (secondary). Eleven participants - predominantly first responders - were recruited to control a robot to clear all threats in a combination of four conditions of primary and secondary tasks in visual and auditory channels. We did not find any statistically significant differences in performance or workload across subjects, making it questionable that Multiple Resource Theory could shorten longer-term task completion time and reduce workload. Our results suggest that considering individual differences for splitting interface modalities across multiple channels requires further investigation.<br />Comment: 7 pages, 13 figures, ICRA 2021

Details

Database :
arXiv
Journal :
2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 3858-3864
Publication Type :
Report
Accession number :
edsarx.2103.16427
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/ICRA48506.2021.9561182