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Applying Kansei/Affective Engineering Methodologies in the Design of Social and Service Robots: A Systematic Review
International Journal of Social Robotics ( IF 3.8 ) Pub Date : 2020-10-23 , DOI: 10.1007/s12369-020-00709-x
Enrique Coronado , Gentiane Venture , Natsuki Yamanobe

This article provides a systematic review of research articles applying Kansei / Affective Engineering methodologies for the development of Social and Service Robots. We describe relevant concepts and main types of Kansei Engineering methodologies to assist new researchers and practitioners interested in the area. We also summarize the main objectives and findings of eleven peer-reviewed research articles published in relevant conferences and journals. We selected these articles after performing a systematic search in relevant databases for robotics research (Science Direct, Web of Science, IEEE Xplore, ACM digital library, and Springer Link) and Kansei Engineering (J-STAGE). This search includes studies published in the English language between 1999 and 2019. Findings from observed articles indicate that Kansei Engineering is a suitable paradigm for robot design. Moreover, developers can use Kansei Engineering methodologies to identify and better understand the design aspects enabling social and service robots to be accepted and desired by users. Contributions of articles reviewed include (i) the use of novel approaches for grasping emotional reactions in Human–Robot Interaction experiments and (ii) the proposal of guidelines for designing social and service robots. However, the use of Kansei Engineering methodologies in robotics is still a poorly explored area. Therefore, we describe possible future directions and open challenges.



中文翻译:

在社交和服务机器人设计中应用感性/情感工程方法:系统综述

本文对使用Kansei / Affective Engineering方法论开发社交和服务机器人的研究文章进行了系统的综述。我们介绍了关西工程方法论的相关概念和主要类型,以协助对该领域感兴趣的新研究人员和从业人员。我们还总结了在相关会议和期刊上发表的11篇经同行评审的研究文章的主要目标和发现。我们在对机器人研究的相关数据库(Science Direct,Web of Science,IEEE Xplore,ACM数字图书馆和Springer Link)和Kansei Engineering进行了系统搜索之后,选择了这些文章。(J-STAGE)。该搜索包括在1999年至2019年之间以英语发布的研究。从观察到的文章中发现,Kansei Engineering是机器人设计的合适范例。此外,开发人员可以使用Kansei Engineering方法论来识别和更好地理解设计方面,从而使社交和服务机器人能够被用户接受和期望。所评论文章的贡献包括(i)在人机交互实验中使用新颖的方法来掌握情绪反应,以及(ii)建议设计社交和服务机器人的准则。但是,使用Kansei Engineering机器人技术中的方法论仍然是一个探索不足的领域。因此,我们描述了未来可能的方向和挑战。

更新日期:2020-10-26
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