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We examine the effects of transparency and communication modality on user trust in a human-robot interaction scenario. To better understand the emerging topic of transparency, we have varied the levels of information that a robotic teammate provided to participants and measured their trust responses. Additionally, we varied the modality (text, auditory, and graphic) the robotic teammate used when...
In all human-robot interaction, trust is an important element to consider because the presence or absence of trust certainly impacts the ultimate outcome of that interaction. Limited research exists that delineates the development and maintenance of this trust in various operational contexts. Our own prior research has investigated theoretical and empirically supported antecedents of human-robot trust...
Robotic systems are being introduced into military echelons to extend warfighter capabilities in complex, dynamic environments. While these systems are designed to complement human capabilities (e.g., aiding in battlefield situation awareness and decision making, etc), they are often misused or disused because the user does not have an appropriate level of trust in his or her robotic counterpart(s)...
The purpose of this paper is to review research pertaining to the limitations and advantages of supervisory control for unmanned systems. We identify and discuss results showing technologies that mitigate the observed problems such as specialized interfaces, and adaptive systems. In the report, we first present an overview of definitions and important terms of supervisory control and human-agent teaming...
We simulated a military reconnaissance environment and examined the performance of ground robotics operators who were instructed to utilize streaming video from an unmanned aerial vehicle to navigate his/her ground robot to the locations of the targets. We evaluated participants' spatial ability and examined if it affected their performance or perceived workload. Results showed that participants with...
We developed an intelligent agent, RoboLeader, that could assist human operators in route planning for a team of ground robots. We compared the operators' target detection performance in the 4-robot and 8-robot conditions. Results showed that the participants detected significantly less targets and had significantly worse situation awareness when there were 8 robots compared to the 4-robot condition...
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