The Effects of Agent Transparency on Human Interaction with an Autonomous Robotic Agent

机译：代理透明性对人与自主机器人代理交互的影响

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We use the Situation awareness-based Agent Transparency model as a framework to design a user interfaceto support agent transparency. Participants were instructed to supervise an autonomous robotic agent as ittraversed simulated urban environments. During this task, participants were exposed to one of three levelsof information used to support agent transparency in the interface display. Our findings suggest thatproviding agent transparency information allows operators to properly calibrate trust without excessworkload. Though, increased agent transparency information did not support operator situation awareness.

机译：我们使用基于情境感知的代理透明性模型作为框架来设计用户界面支持代理商的透明度。指示参与者监督自治机器人代理遍历模拟的城市环境。在此任务中，参与者被暴露于三个级别之一界面显示中用于支持座席透明度的信息集。我们的发现表明提供座席透明性信息，使运营商可以适当地校准信任度工作量。但是，增加的座席透明度信息不支持操作员的情况意识。

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《Human Factors and Ergonomics Society;Human Factors and Ergonomics Society annual meeting》|2015年|806-810|共5页
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Anthony Selkowitz; Shan Lakhmani; Jessie Y.C. Chen; Michael Boyce;
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The Effects of Agent Transparency on Human Interaction with an Autonomous Robotic Agent

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