Survey of Psychophysiology Measurements Applied to Human-Robot Interaction
Survey of Psychophysiology Measurements Applied to Human-Robot Interaction
复制标题
适用于人机交互的心理生理学测量调查
DOI：
10.1109/roman.2007.4415182
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
J. Burke
中科院分区：
文献类型：
--
作者：
Cindy L. Bethel;K. Salomon;R. Murphy;J. Burke
本文回顾了与在人机交互（HRI）研究中使用心理生理学测量相关的文献，以解决评估HRI研究，特别是影响的适当度量和方法的基本问题。它确定了人力资源研究中的四种主要评估方法：(1)自我报告测量，(2)行为测量，(3)心理生理测量和(4)任务绩效。然而，该论文还表明，仅使用这些措施中的一种进行评估不足以对机器人与其交互的人类之间的相互作用提供完整的评估和解释。此外，本文还描述了使用心理生理学测量的典型HRI研究；这些实现分为三类：从生理信号中检测和/或识别参与者的特定情绪，通过生理信号评估参与者对机器人的反应，以及利用生理信号开发和实现对机器人行为的实时控制和修改。本综述确定了两个关于心理生理指标的开放性研究问题。
This paper reviews the literature related to the use of psychophysiology measures in human-robot interaction (HRI) studies in an effort to address the fundamental question of appropriate metrics and methodologies for evaluating HRI research, especially affect. It identifies four main methods of evaluation in HRI studies: (1) self-report measures, (2) behavioral measures, (3) psychophysiology measures, and (4) task performance. However, the paper also shows that using only one of these measures for evaluation is insufficient to provide a complete evaluation and interpretation of the interactions between a robot and the human with which it is interacting. In addition, the paper describes exemplar HRI studies which use psychophysiological measures; these implementations fall into three categories: detection and/or identification of specific emotions of participants from physiological signals, evaluation of participants' responses to a robot through physiological signals, and development and implementation of real-time control and modification of robot behaviors using physiological signals. Two open research questions on psychophysiological metrics were identified as a result of this review.