Effects Of Agent Transparency On Human-Autonomy Teaming Effectiveness
Keywords
Agent transparency; Human-autonomy teaming; Human-robot interaction; Military; Mixed-initiative; Situation awareness; Unmanned vehicles
Abstract
Two human factors studies were conducted to assess the effectiveness of intelligent agents' user interfaces that were designed based on the Situation awareness-based Agent Transparency (SAT) model. Results show that agents' transparency (based on the SAT model) can benefit operator performance and support proper calibration of trust in the agents. Increasing levels of transparency enhanced operator's perceived trust in the agents, but only to a degree. When uncertainty was added to the interface, operator's trust did not further increase. Finally, the subjective workload data suggest that the benefits of increasing agent transparency do not have to be associated with higher levels of operator workload.
Publication Date
2-6-2017
Publication Title
2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
Number of Pages
1838-1843
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/SMC.2016.7844505
Copyright Status
Unknown
Socpus ID
85015809969 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85015809969
STARS Citation
Chen, Jessie Y.C.; Barnes, Michael J.; Selkowitz, Anthony R.; and Stowers, Kimberly, "Effects Of Agent Transparency On Human-Autonomy Teaming Effectiveness" (2017). Scopus Export 2015-2019. 7040.
https://stars.library.ucf.edu/scopus2015/7040