Impact of Camera Perspective and Image Throughput on Human Trust of a Quadrupedal Robot Scout

Ralph W. Brewer, Z. Guyton, Tyler Long, Angela Vantreese, M. Russell, Chad C. Kessens, E. Rovira
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Abstract

The objective of this study is to understand user perceptions of robot behaviors. Specifically, we are interested in the possible effects of providing the user with different camera perspectives and with regular snapshots versus a continuous camera feed in the context of a small-unit military operation. The study will employ a mixed 2 (camera perspective: 1st person vs over the shoulder 3rd person) x 2 (camera feed: snapshots vs continuous) factorial design, with participants viewing a robot performing military tasks in both rural and urban operational settings. After viewing the robot’s performance, participants will answer performance questions based on the context of the military mission, as well as questionnaires that measure trust in the autonomous system. Dependent variables include performance outcomes from tactical performance questions and subjective results of the trust questionnaires. Data from participants will be analyzed with a 2x2 between subjects ANOVA. We anticipate that the findings will suggest that a third person perspective and continuous camera feed will result in the highest trust and best performance outcomes.
摄像机视角和图像吞吐量对四足机器人侦察人信任的影响
本研究的目的是了解用户对机器人行为的感知。具体来说,我们感兴趣的是在小单位军事行动的背景下,为用户提供不同的相机视角和常规快照与连续相机馈送的可能效果。该研究将采用混合2(摄像机视角:第一人称vs第三人称)× 2(摄像机馈送:快照vs连续)析因设计,参与者观察机器人在农村和城市作战环境中执行军事任务。在观看机器人的表现后,参与者将根据军事任务的背景回答性能问题,以及衡量对自主系统信任的问卷。因变量包括战术绩效问题的绩效结果和信任问卷的主观结果。来自参与者的数据将在受试者之间进行2x2方差分析。我们预计,研究结果将表明,第三人称视角和连续摄像机馈送将产生最高的信任和最佳的性能结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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