Paper Info
Title
Effects Of Agent Transparency On Human-Autonomy Teaming Effectiveness
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.
Year
Venue
Keywords
2016
2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
agent transparency, human-autonomy teaming, human-robot interaction, mixed-initiative, situation awareness, unmanned vehicles, military
Field
DocType
ISSN
Intelligent agent,Situation awareness,Computer science,Knowledge management,Risk analysis (engineering),Artificial intelligence,Operator (computer programming),Transparency (graphic),Workload,Autonomy,Operator performance,User interface,Machine learning
Conference
1062-922X
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Jessie Y.C. Chen1788.71
Michael Barnes29610.31
Anthony R. Selkowitz361.49
Kimberly Stowers432.21