Applying Kansei/Affective Engineering Methodologies in the Design of Social and Service Robots: A Systematic Review
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Applying Kansei/Affective Engineering Methodologies in the Design of Social and Service Robots: A Systematic Review Enrique Coronado1
· Gentiane Venture1 · Natsuki Yamanobe2
Accepted: 30 September 2020 © Springer Nature B.V. 2020
Abstract 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. Keywords Kansei engineering · Human-centered design · Human–robot interaction · Social robots · Service robots
1 Introduction Recent advances in perceptual, cognition and control algorithms generate new trends in Human–Robot Interaction (HRI). The objective of applications following these new trends is to reach effective communication between robots and people in dynamic and real-world environments. [14, 15,29,57]. However, robotics is an area presenting many challenges that hinder their successful integration beyond industrial scenarios. Examples supporting this fact are the recent failed attempts at commercializing social robots
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Enrique Coronado [email protected] Gentiane Venture [email protected] Natsuki Yamanobe [email protected]
1
Tokyo University of Agriculture and Technology, Tokyo, Japan
2
National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
[22]. As highlighted in [18,22] social and service robots will difficulty reach a successful integration into our society unless manufacturers and researchers become aware of the importance of exploring human-centered and emotional design paradigms. In fact, many mature technologies nowadays adopted by the general public have historically switched their design approaches from machine-centered to human-centered [5,59]. On the one hand, machine-c
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