Experimental Validation Of Pilot Situation Awareness Enhancement Through Transparency Design Of A Scalable Mixed-Initiative Mission Planner
Keywords
Adaptive associate systems; Human factors; Human-systems integration; Mixed-initiative; Scalable autonomy
Abstract
This study focuses on the increase of situation awareness (SA) in human-agent mixed-initiative mission planning. Complex agent behavior and the failure to comprehend the agent’s proposed actions might result in a loss of SA and a decrease in trust. This study adopted the transparency strategies proposed by the SA-based Agent Transparency (SAT) model to improve the human operator’s perception, comprehension, and projection of the agent’s interventions. The concept was applied to prototype of a planning associate for multi-vehicle mission planning. A human-in-the-loop experiment revealed a higher SA and performance. Subjective trust measures could not verify a change in operator’s trust in the agent. The results and the potential for further research are discussed.
Publication Date
1-1-2018
Publication Title
Advances in Intelligent Systems and Computing
Volume
722
Number of Pages
209-215
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-319-73888-8_33
Copyright Status
Unknown
Socpus ID
85040241377 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85040241377
STARS Citation
Schmitt, Fabian; Roth, Gunar; Barber, Daniel; Chen, Jessie; and Schulte, Axel, "Experimental Validation Of Pilot Situation Awareness Enhancement Through Transparency Design Of A Scalable Mixed-Initiative Mission Planner" (2018). Scopus Export 2015-2019. 9496.
https://stars.library.ucf.edu/scopus2015/9496