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Robots without faces: non-verbal social human-robot interaction .

机译:没有面孔的机器人:非语言的人机交互。

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摘要

Non-facial and non-verbal methods of affective expression are essential for naturalistic social interaction in robots that are designed to be functional and lack expressive faces (appearance-constrained) such as those used in search and rescue, law enforcement, and military applications. This research identifies five main methods of non-facial and non-verbal affective expression (body movement, posture, orientation, color, and sound). From the psychology, computer science, and robotics literature a set of prescriptive recommendations was distilled for the appropriate nonfacial and non-verbal affective expression methods for each of three proximity zones of interest (intimate: contact--0.46 m, personal: 0.46--1.22 m, and social: 1.22--3.66 m). These recommendations serve as design guidelines for adding retroactively affective expression through software with minimal or no physical modifications to a robot or designing a new robot. This benefits both the human-robot interaction (HRI) and robotics communities. A large-scale, complex human-robot study was conducted to verify these design guidelines using 128 participants, and four methods of evaluation (self-assessments, psychophysiological measures, behavioral observations, and structured interviews) for convergent validity. The study was conducted in a high-fidelity, confined-space simulated disaster site with all robot interactions performed in the dark. This research investigated whether the use of non-facial and non-verbal affective expression provided a mechanism for naturalistic social interaction between a functional, appearance-constrained robot and the human with which it interacted.;As part of this research study, the valence and arousal dimensions of the Self-Assessment Manikin (SAM) were validated for use as an assessment tool for future HRI human-robot studies. Also presented is a set of practical recommendations for designing, planning, and executing a successful, large-scale complex human-robot study using appropriate sample sizes and multiple methods of evaluation for validity and reliability in HRI studies.;As evidenced by the results, humans were calmer with robots that exhibited non-facial and non-verbal affective expressions for social human-robot interactions in urban search and rescue applications. The results also indicated that humans calibrated their responses to robots based on their first robot encounter.
机译:非面部和非语言的情感表达方法对于设计为功能性且缺乏表情(受外观限制)的机器人(如搜索和救援,执法和军事应用中使用的机器人)中的自然主义社会互动至关重要。这项研究确定了非面部和非语言情感表达的五种主要方法(身体运动,姿势,方向,颜色和声音)。从心理学,计算机科学和机器人技术文献中,针对感兴趣的三个邻近区域中的每一个(适当的:接触--0.46 m,个人的:0.46--),针对适当的非面部和非言语情感表达方法提炼了一组规范性建议1.22 m,社交:1.22--3.66 m)。这些建议可作为设计指南,以通过对机器人进行最少或没有物理修改的软件或设计新机器人来添加具有追溯力的情感表达。这使人机交互(HRI)和机器人社区受益。进行了大规模,复杂的人类机器人研究,使用128位参与者和四种评估方法(自我评估,心理生理指标,行为观察和结构化访谈)来验证这些设计准则的收敛有效性。这项研究是在高保真,密闭空间模拟灾难现场进行的,所有机器人交互都是在黑暗中进行的。这项研究调查了使用非面部和非语言情感表达是否为功能性,受外观限制的机器人与与其互动的人之间的自然社会互动提供了一种机制。自我评估模型(SAM)的唤醒尺寸经过验证,可以用作未来HRI人类机器人研究的评估工具。还提出了一组实用的建议,用于设计,规划和执行成功的,大规模的复杂人类机器人研究,使用适当的样本量和多种评估方法进行HRI研究的有效性和可靠性。人类对在城市搜索和救援应用中社交人机交互表现出非面部和非言语情感表达的机器人感到更加镇定。结果还表明,人类会根据首次遇到的机器人来校准对机器人的响应。

著录项

  • 作者

    Bethel, Cindy L.;

  • 作者单位

    University of South Florida.;

  • 授予单位 University of South Florida.;
  • 学科 Engineering Robotics.;Psychology Physiological.;Computer Science.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 182 p.
  • 总页数 182
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:49

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