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Kansei Engineering-Based on Sensors

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 4186

Special Issue Editor


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Guest Editor
Hiroshima International University, Hiroshima, Japan
Interests: Kansei Engineering, Ergonomics, Gerontechnology & Biomechanics, Applied Psychology

Special Issue Information

Dear Colleagues,

In Japanese, the word Kansei carries a meaning of sensitivity, feeling, and emotion. Kansei Engineering is defined as “a translation system for images or feelings into real design components.” Kansei Engineering (KE) is a collection of various methodologies of Kansei measurements and analysis into detailed product design. Established by Prof. Mitsuo Nagamachi in the early 1970s, the application of KE has become well represented in the automotive industry (Nissan, Mazda, Toyota) and the electronic appliance industry (Panasonic, Sharp, Sanyo) among many others.

Kansei Engineering can support both product designers and consumers. It supports product designers by showing the correspondence between a customer’s feelings and a product’s design elements. In turn, it helps the consumer select a product that aligns most with their feelings. KE is based on psychological assessment techniques, multivariate analyses, artificial intelligence, and computer graphics. In recent years, the Kansei of physical properties such as surface texture, ray reflection, and transparency have been explored in detail. Physiological measurements like EEG, EMG, body surface pressure, and limb movement have also been explored in relation to Kansei. Various kinds of sensing technologies and analysis methodologies have contributed to KE studies as well. This Special Issue will address the physical, physiological, psychological, and behavioral sensing applied to Kansei Engineering.

Prof. Dr. Shigekazu Ishihara
Guest Editor

Manuscript Submission Information

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Published Papers (1 paper)

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Research

19 pages, 1533 KiB  
Article
Systematic Literature Reviews in Kansei Engineering for Product Design—A Comparative Study from 1995 to 2020
by Óscar López, Clara Murillo and Alfonso González
Sensors 2021, 21(19), 6532; https://doi.org/10.3390/s21196532 - 30 Sep 2021
Cited by 10 | Viewed by 3520
Abstract
Individual products and models on the market must be specifically differentiated from the rest to meet user demand. In terms of consumer purchasing behaviour, consumers increasingly base their decisions on subjective terms or the impression that the product leaves on them, both in [...] Read more.
Individual products and models on the market must be specifically differentiated from the rest to meet user demand. In terms of consumer purchasing behaviour, consumers increasingly base their decisions on subjective terms or the impression that the product leaves on them, both in terms of functionality, usability, safety, and price adequacy, and regarding the emotions and feelings that it triggers in them. This demand has lead both Asia and Europe to implement new methodologies to develop new products, such as “emotional design” or Kansei engineering. This paper presents a systematic literature review (SLR) on the most relevant methodologies based on Kansei engineering and their relevant results in the specific discipline of product design, addressing these five questions: (RQ1) How many studies on KE and emotional design are there in the Scopus and Web of Science (WoS) databases from 1995 to February 2021? (RQ2) Which research topics and types of KE are addressed? (RQ3) Who is leading the research on KE and emotional design? (RQ4) What are the benefits and drawbacks of using and applying the methodology? (RQ5) What are the limitations of the current research? We analysed 87 studies focusing on the Kansei methodology used for product design and device technologies (e.g., shape design, actuators, sensors, structure) and aesthetic aspects (e.g., Kansei words selection, the quantification of measured emotions of results, and detected shortcomings), and provided the database with all the collected information. One identified and highlighted sector in the results is the electronic–technological-device sector. Results confirm that this type of methodology has a majority and direct application in these sectors, and they are widely represented in the automotive and electronics industries. Lastly, this SLR provides researchers with a guide for comparative emotional-design work, and facilitates future designers who want to implement emotional design in their work by selecting the specific type according to the results of the SLR. Full article
(This article belongs to the Special Issue Kansei Engineering-Based on Sensors)
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