Measuring user behavior in a complex USAR team evaluation
Measuring user behavior in a complex USAR team evaluation
复制标题
在复杂的 USAR 团队评估中衡量用户行为
DOI：
--
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
R. Looije
中科院分区：
文献类型：
--
作者：
N. Smets;Neerincx;R. Looije
执行城市搜救 (USAR) 是一项压力很大、要求很高的任务。救援人员可以在现场使用额外的眼睛和耳朵，特别是在他们自己无法到达的地方。地面机器人可以支持救援人员执行任务。为了开发这样的地面机器人，需要进行高保真度和真实性测试[1]。高保真度评估很难建立，因为情况需要复杂且真实。在本文中，我们在 USAR 领域进行了一项复杂的团队实验。我们测量了大量变量来评估参与者的表现、任务负荷和情绪。本文重点讨论分析工具（Observer 和 FaceReader [2]）和测量是否能够充分指示和洞察救援人员对具有两个自动化级别（无自动化与部分自动化）的机器人的操作。
Performing urban search and rescue (USAR) is a stressful and high demand task. The rescuers can use an extra pair of eyes and ears in the field, especially in places where they themselves cannot go. A ground robot can support rescuers in their task. To develop such a ground robot high fidelity and realism testing is needed [1]. High fidelity evaluations are difficult to set up, because the circumstances need to be complex and truthful. In this paper we performed a complex team experiment in the USAR domain. We measured a large number of variables to assess participants’ performance, task load and emotion. This paper focuses on the question whether the analyses tools (Observer and FaceReader [2]) and measures gave an adequate indication of and insight in rescuers’ operations for a robot with two levels of automation (no versus partial).