人类自治团队和代理透明度

Jessie Y.C. Chen, M. Barnes, Anthony R. Selkowitz, K. Stowers, Shan G. Lakhmani, N. Kasdaglis
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引用次数: 10

摘要

我们为两种人机交互(HRI)任务环境开发了用户界面:下马步兵与地面机器人(自主小队成员)交互,以及人类与智能代理交互以管理异构机器人车辆团队(IMPACT)。这些用户界面是基于基于态势感知的Agent Transparency (SAT)模型开发的。用户测试表明,随着代理透明度的提高,人类代理团队的整体绩效也在提高。随着代理透明度的增加,参与者能够更恰当地校准他们对代理的信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human-Autonomy Teaming and Agent Transparency
We developed the user interfaces for two Human-Robot Interaction (HRI) tasking environments: dismounted infantry interacting with a ground robot (Autonomous Squad Member) and human interaction with an intelligent agent to manage a team of heterogeneous robotic vehicles (IMPACT). These user interfaces were developed based on the Situation awareness-based Agent Transparency (SAT) model. User testing showed that as agent transparency increased, so did overall human-agent team performance. Participants were able to calibrate their trust in the agent more appropriately as agent transparency increased.
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