| 吕菲,林知桦,席瑞,何思南,周茉莉,关岱松.基于文献分析的机器人面部表情评估量表研究[J].包装工程,2020,41(6):32-42. |
| 基于文献分析的机器人面部表情评估量表研究 |
| Evaluation Scales Study for Robot Facial Expressions Based on Literature Analysis |
| 投稿时间：2020-01-29 修订日期：2020-03-20 |
| DOI：10.19554/j.cnki.1001-3563.2020.06.006 |
| 中文关键词: 机器人 面部表情 评估量表 情绪评估 文献综述 |
| 英文关键词: robot facial expression evaluation scale emotion evaluation literature review |
| 基金项目:国家自然科学基金（61972045）；北京市社会科学基金（18ZDA08）；百度在线网络技术（北京）有限公司《儿童智能设备表情交互设计原则探究》项目 |
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| 中文摘要: |
| 目的 随着机器人交互技术的不断发展，研究者们开始针对机器人与人之间的情感交流展开探索，机器人面部表情设计成为研究的热点。为了推动人与机器人的互动交流，研究者需要构造能够被人们接受的机器人面部表达方式。然而，到目前为止，关于人对机器人面部表情感知的评估机制还缺乏相对系统的分析和总结，因此，希望通过对机器人面部表情评估量表的分析和归纳，为设计师在不同情境下选择合适的评估方法，提供指导建议。方法 采用文献调研方法，选取五十一篇相关文献进行综述分析，从而梳理和分析适用于机器人面部表情评估的量表。文献关键词包含机器人面部表情设计、机器人面部表情评估、机器人情绪评估量表等，文献主要来自于ACM、Springer、IEEE等数据库，文献发表的年度范围是1977~2019年。通过文献调研分析，提取了六类最重要的机器人面部表情评估量表，包括同理心量表、心理状态三维度量表、机器人焦虑量表、积极—消极自我报告量表、测量个体对机器人感知的量表和李克特量表等，详细阐述了每类量表中的具体形式及其变种。从设计要点、来源领域及评估角度三个方面分析了六类评估量表的特点。最后形成了机器人面部表情评估量表的适用建议。结论 对机器人面部表情评估量表进行归类、总结，并且提出了每个量表的适用阶段和情境。 |
| 英文摘要: |
| With the development of robot interaction technology, researchers begin to explore the emotional commu-nication between humans and robots, and the design of robot facial expressions has become a hot topic. In order to promote interaction between humans and robots, researchers need to design the form of robot facial expressions that can be accepted by people. However, till now, the evaluation mechanism of human perception on the robot facial expressions has not been systematically analyzed and summarized, so the work aims to provide guidance and suggestions for designers to choose appropriate evaluation methods in different situations through the analysis and summary on the evaluation scales of robot facial expressions. The method of literature research was adopted to select 51 publications for review and analysis, so as to sort out the scales suitable for the evaluation of robot facial expressions. The key words include robot facial expression design, robot facial expression evaluation, robot emotion evaluation scale, etc. The publications were collected from ACM, Springer, IEEE and other databases, published from 1977 to 2019. Through the analysis by literature survey, six most important evaluation scales of robot facial expressions were selected, including empathy scales, scale of three-factor theory of emotions, robot anxiety scale, positive and negative affect schedule, scale of human perception of robots and Likert scale. Then, the characteristics of each evaluation scale were analyzed from three aspects: the design points, the original application field and the evaluation views. Finally, the applicable recommendations of evaluation scales for robot facial expression design were proposed. The robot facial expression evaluation scales were classified and summarized and the applicable stage and situation of each scale were put forward. |
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