Development Of A Signal Detection-Based Task For Research On Distributed Human-Robot Teaming Within Immersive Virtual Reality
Abstract
The purpose of this paper is to describe the design and validation of a dynamic signal detection-based task experienced within immersive virtual reality (IVR). The task will be used as a primary task for investigating the workload introduced by interface devices used for human-robot team communications. Participants play the role of a Soldier performing a Cordon and Search operation monitoring an environment for threats. The task differs from traditional signal detection tasks in that it is continuous, dynamic, and signal stimuli move through participants' field of view. Implementation of the task within simulation allows for direct control, measurement, and manipulation of multiple parameters that influence performance metrics, task difficulty, and participant workload. Lessons learned during the design and development of the task are shared to guide other researchers intending to implement a signal detection-based task within IVR.
Publication Date
1-1-2018
Publication Title
Proceedings of the Human Factors and Ergonomics Society
Volume
3
Number of Pages
1479-1483
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
85072750737 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85072750737
STARS Citation
Vasquez, Gabrielle; Bendell, Rhyse; Talone, Andrew; and Jentsch, Florian, "Development Of A Signal Detection-Based Task For Research On Distributed Human-Robot Teaming Within Immersive Virtual Reality" (2018). Scopus Export 2015-2019. 8927.
https://stars.library.ucf.edu/scopus2015/8927