Using agent transparency to support situation awareness of the Autonomous Squad Member |
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| Institution: | 1. U.S. Army Research Laboratory, 12423 Research Parkway, Orlando, FL 32826, United States;2. University of Central Florida, 12423 Research Parkway, Orlando, FL 32826, United States;1. Department of Systems Engineering and Management, Air Force Institute of Technology, 2950 Hobson Way, (AFIT/ENV), Wright Patterson AFB, OH 45433, United States;2. Department of Electrical and Computer Engineering, Air Force Institute of Technology, 2950 Hobson Way, (AFIT/ENV), Wright Patterson AFB, OH 45433, United States;1. Department of Psychology, University of Fribourg, Fribourg, Switzerland;2. Division of Operations Management and Information Systems, Nottingham University Business School, Nottingham, UK |
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| Abstract: | Agent transparency has been proposed as a solution to the problem of facilitating operators’ situation awareness in human-robot teams. Sixty participants performed a dual monitoring task, monitoring both an intelligent, autonomous robot teammate and performing threat detection in a virtual environment. The robot displayed four different interfaces, corresponding to information from the Situation awareness-based Agent Transparency (SAT) model. Participants’ situation awareness of the robot, confidence in their situation awareness, trust in the robot, workload, cognitive processing, and perceived usability of the robot displays were assessed. Results indicate that participants using interfaces corresponding to higher SAT level had greater situation awareness, cognitive processing, and trust in the robot than when they viewed lower level SAT interfaces. No differences in workload or perceived usability of the display were detected. Based on these findings, we observed that transparency has a significant effect on situation awareness, trust, and cognitive processing. |
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| Keywords: | Transparency Human-Robot interaction Situation awareness Trust |
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