Applying Kansei/Affective Engineering Methodologies in the Design of Social and Service Robots: A Systematic Review

Coronado, Enrique; Venture, Gentiane; Yamanobe, Natsuki

doi:10.1007/s12369-020-00709-x

Cited by 36 publications

(11 citation statements)

References 41 publications

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“…It is very complex because, for comfortable assistance, the robot must recognize its surroundings, including the motion of humans, the position of the objects, and obstacles such as stairs [81]. The principal objective in this application is to reach effective communication between the robot, its real-world environment, and the people in it [82]. In such a situation, the robot must have a manipulator that can grasp, transport, and place objects, as these are fundamental capabilities for this type of service robot [83].…”

Section: Applicationsmentioning

confidence: 99%

Service Robots: Trends and Technology

et al. 2021

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The 2021 sales volume in the market of service robots is attractive. Expert reports from the International Federation of Robotics confirm 27 billion USD in total market share. Moreover, the number of new startups with the denomination of service robots nowadays constitutes 29% of the total amount of robotic companies recorded in the United States. Those data, among other similar figures, remark the need for formal development in the service robots area, including knowledge transfer and literature reviews. Furthermore, the COVID-19 spread accelerated business units and some research groups to invest time and effort into the field of service robotics. Therefore, this research work intends to contribute to the formalization of service robots as an area of robotics, presenting a systematic review of scientific literature. First, a definition of service robots according to fundamental ontology is provided, followed by a detailed review covering technological applications; state-of-the-art, commercial technology; and application cases indexed on the consulted databases.

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Section: Applicationsmentioning

confidence: 99%

Service Robots: Trends and Technology

et al. 2021

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“…Even though the methods have only been mentioned one time by the 43 case studies, they have been adapted and applied by different fields for years. Several publications are interesting works that may help readers have a better idea about the Kano model published by Zhao et al ( 2020 ) and Shahin et al ( 2013 ), Kansei engineering reviewed by Shiizuka and Hashizume ( 2011 ) and Coronado et al ( 2020 ), BPMN studied by Ko et al ( 2009 ) and Chinosi and Trombetta ( 2012 ).…”

Section: Literature Characterization Of Human-centred Design In Industry 40mentioning

confidence: 99%

Human-centred design in industry 4.0: case study review and opportunities for future research

2021

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The transition to industry 4.0 has impacted factories, but it also affects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. The awareness of human roles in Industry 4.0 is increasing, as evidenced by active work in developing methods, exploring influencing factors, and proving the effectiveness of design oriented to humans. However, numerous studies have been brought into existence but then disconnected from other studies. As a consequence, these studies in industry and research alike are not regularly adopted, and the network of studies is seemingly broad and expands without forming a coherent structure. This study is a unique attempt to bridge the gap through the literature characteristics and lessons learnt derived from a collection of case studies regarding human-centred design (HCD) in the context of Industry 4.0. This objective is achieved by a well-rounded systematic literature review whose special unit of analysis is given to the case studies, delivering contributions in three ways: (1) providing an insight into how the literature has evolved through the cross-disciplinary lens; (2) identifying what research themes associated with design methods are emerging in the field; (3) and setting the research agenda in the context of HCD in Industry 4.0, taking into account the lessons learnt, as uncovered by the in-depth review of case studies.

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“…Kansei Engineering Modeling refers to a mathematical predictive model with interference engine and databases constructed in the computerized system despite the rule-base to support decision logic [8] . Fuzzy logic is widely used in this method to form machine intelligence.…”

Section: Type 4: Kansei Engineering Modelingmentioning

confidence: 99%

Kansei engineering and its application on intelligent nursing bed design

Zhou

Yang

2023

International Conference on Artificial Intelligence and Industrial Design (AIID 2022)

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With the development of industrial design, traditional requirements of reasonable function and aesthetic appearance are insufficient for nowadays customers' needs, which leads to the proposition of Kansei Engineering (KE). This paper introduces Kansei and six types of KE methods, and provides a design application based on Hybrid KE system and computer data analysis to evaluate and improve an intelligent home nursing bed by principal component analysis and cluster analysis, of which accurately and efficiently reflected the performance of the design scheme in six pairs of key indicators. The open challenges and future directions of KE are discussed as well, suggestion of its future study is offered for better knowledge and quick understanding of KE by relevant scholars.

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Applying Kansei/Affective Engineering Methodologies in the Design of Social and Service Robots: A Systematic Review

Cited by 36 publications

References 41 publications

Service Robots: Trends and Technology

Service Robots: Trends and Technology

Human-centred design in industry 4.0: case study review and opportunities for future research

Kansei engineering and its application on intelligent nursing bed design

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