Title
Human-Agent Teaming For Robot Management In Multitasking Environments
Keywords
Human Robot Interaction; Individual Differences; Military; Multitasking; Simulation
Abstract
In the current experiment, we simulated a multitasking environment and evaluated the effects of an intelligent agent, RoboLeader, on the performance of human operators who had the responsibility of managing the plans/routes for three vehicles (their own manned ground vehicle, an aerial robotic vehicle, and a ground robotic vehicle) while maintaining proper awareness of their immediate environment (i.e., threat detection). Results showed that RoboLeader's level of autonomy had a significant impact on participants' concurrent target detection task. Participants detected more targets in the Semi-Auto and Full-Auto conditions than in the Manual condition. Participants reported significantly higher workload in the Manual condition than in the two RoboLeader conditions (Semi-Auto and Full-Auto). Operator spatial ability also had a significant impact on target detection and situation awareness performance measures. © 2013 IEEE.
Publication Date
4-8-2013
Publication Title
ACM/IEEE International Conference on Human-Robot Interaction
Number of Pages
103-104
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/HRI.2013.6483522
Copyright Status
Unknown
Socpus ID
84875729832 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84875729832
STARS Citation
Chen, Jessie Y.C.; Quinn, Stephanie; Wright, Julia; Barnes, Michael; and Barber, Daniel, "Human-Agent Teaming For Robot Management In Multitasking Environments" (2013). Scopus Export 2010-2014. 6860.
https://stars.library.ucf.edu/scopus2010/6860