Insights Into Human-Agent Teaming: Intelligent Agent Transparency And Uncertainty
Keywords
Human factors; Human-Machine interaction; Supervisory control; Systems engineering; Transparency; Unmanned vehicles
Abstract
This paper discusses two studies testing the effects of agent transparency in joint cognitive systems involving supervisory control and decision-making. Specifically, we examine the impact of agent transparency on operator performance (decision accuracy), response time, perceived workload, perceived usability of the agent, and operator trust in the agent. Transparency has a positive impact on operator performance, usability, and trust, yet the depiction of uncertainty has potentially negative effects on usability and trust. Guidelines and considerations for displaying transparency in joint cognitive systems are discussed.
Publication Date
1-1-2017
Publication Title
Advances in Intelligent Systems and Computing
Volume
499
Number of Pages
149-160
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-319-41959-6_13
Copyright Status
Unknown
Socpus ID
84986320307 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84986320307
STARS Citation
Stowers, Kimberly; Kasdaglis, Nicholas; Rupp, Michael; Chen, Jessie; and Barber, Daniel, "Insights Into Human-Agent Teaming: Intelligent Agent Transparency And Uncertainty" (2017). Scopus Export 2015-2019. 6990.
https://stars.library.ucf.edu/scopus2015/6990