scholarly journals Analysis of the Turkish tulipshaped tea glass’s emotional design features using Kansei Engineering Methodology

2021 ◽  
Vol 18 (2) ◽  
pp. 491-503
Author(s):  
Ayşe Erol ◽  
Deniz Leblebici Basar
Keyword(s):  
Emotional Design ◽  
Kansei Engineering ◽  
Design Features

Basic Principles and New Methods on Emotional Product Design

2012 ◽  
Vol 452-453 ◽  
pp. 437-440
Author(s):  
Min Huang ◽  
Hong Juan Qiao
Keyword(s):  
Quantitative Analysis ◽  
Product Design ◽  
Theoretical Basis ◽  
Design Methods ◽  
Shape Design ◽  
Emotional Design ◽  
Kansei Engineering ◽  
Basic Principles ◽  
New Methods ◽  
Product Technology

Emotional design is one of the most important methods in modern product design. It was highlighted after Donald A. Norman published his book Emotional design: why we love (or hate) everyday things. Emotional design addresses people’s needs and hopes which is in the center of the development of product design and product technology. Due to the lack of strong theoretical basis and quantitative analysis, many products can’t reach the goal of their designers with Emotional feelings, nor can consumer’s emotional understandings be similar to the designers’ emotional expectations. This paper analyzes the concept of emotional design and some difficulties which designers must to be faced in their emotional designing works, discusses on product shape design according to emotional design. On this basis, the Kansei engineering and emotional design methods are described in details.

scholarly journals An Analysis to Determine the Priority Emotional Design in Kansei Engineering by using the AHP Approach in Product Development

2018 ◽  
Vol 8 (6) ◽  
pp. 151-156
Author(s):  
Fevi Syaifoelida . ◽  
M.A.M Megat Hamdan . ◽  
M.R Eqwan . ◽  
Iszmir Nazmi .
Keyword(s):  
Product Development ◽  
Emotional Design ◽  
Kansei Engineering

The Satisfaction Preferences Measurement of Profile Design

2015 ◽  
Vol 815 ◽  
pp. 304-312 ◽  
Author(s):  
Haeryip Sihombing ◽  
Rosidah Jaafar ◽  
M.Y. Yuhazri
Keyword(s):  
Customer Satisfaction ◽  
Quality Attributes ◽  
Emotional Design ◽  
Kansei Engineering ◽  
Kano Model ◽  
Emotional Quality ◽  
Product Features ◽  
Profile Design

The purpose of this study is to identify the quality of the product and the key product features based on customer satisfaction through the Kansei Engineering (KE) and Kano Model (KM). There were 509 respondents involved in this survey to answer the questionnaires developed that contains of 8 shampoo bottles design, 6 words representing emotional quality based on Kansei Words (such as Dull~Attractive; Difficult to Use ~ Easy to Use; Common ~ Unique; Stiff ~ Elegant; Complicated ~ Simple; Awkward ~ Comfortable), and 6 questions towards functional and dysfunctional attributes of quality based Kano method. Mostly of survey respondents feels that the proposed of shampoo bottle designs as 'Indifferent' (I) quality attributes. Also, the results showed that of the “K2” (in-out mechanism toward liquid inside the shampoo bottle) using 'flip top' cap is mostly having siginificant correlation with the design in the eyes of customers based on 'Stiff ~ Elegant' (SE), 'Difficult ~ Easy' to use (DE) and 'Dull ~ Attractive' (DA). This study found and showed the design of products can be interpreted using Kansei Words towards what the articulation of the design profile that represented the customers' emotional design.

scholarly journals Optimal Design of Virtual Reality Visualization Interface Based on Kansei Engineering Image Space Research

Symmetry ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 1722
Author(s):  
Qianwen Fu ◽  
Jian Lv ◽  
Shihao Tang ◽  
Qingsheng Xie
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Virtual Reality ◽  
Regression Analysis ◽  
Convolutional Neural Network ◽  
Kansei Engineering ◽  
Design Features ◽  
Design Elements ◽  
Design Scheme ◽  
Important Design

To effectively organize design elements in virtual reality (VR) scene design and provide evaluation methods for the design process, we built a user image space cognitive model. This involved perceptual engineering methods and optimization of the VR interface. First, we studied the coupling of user cognition and design features in the VR system via the Kansei Engineering (KE) method. The quantitative theory I and KE model regression analysis were used to analyze the design elements of the VR system’s human–computer interaction interface. Combined with the complex network method, we summarized the relationship between design features and analyzed the important design features that affect users’ perceptual imagery. Then, based on the characteristics of machine learning, we used a convolutional neural network (CNN) to predict and analyze the user’s perceptual imagery in the VR system, to provide assistance for the design optimization of the VR system design. Finally, we verified the validity and feasibility of the solution by combining it with the human–machine interface design of the VR system. We conducted a feasibility analysis of the KE model, in which the similarity between the multivariate regression analysis of the VR intention space and the experimental test was approximately 97% and the error was very small; thus, the VR intention space model was well correlated. The Mean Square Error (MSE) of the convolutional neural network (CNN) prediction model was calculated with a measured value of 0.0074, and the MSE value was less than 0.01. The results show that this method can improve the effectiveness and feasibility of the design scheme. Designers use important design feature elements to assist in VR system optimization design and use CNN machine learning methods to predict user image values in VR systems and improve the design efficiency. Facing the same design task requirements in VR system interfaces, the traditional design scheme was compared with the scheme optimized by this method. The results showed that the design scheme optimized by this method better fits the user’s perceptual imagery index, and thus the user’s task operation experience was better.

scholarly journals Systematic Literature Reviews in Kansei Engineering for Product Design—A Comparative Study from 1995 to 2020

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6532
Author(s):  
Óscar López ◽  
Clara Murillo ◽  
Alfonso González
Keyword(s):  
Product Design ◽  
Shape Design ◽  
Emotional Design ◽  
Kansei Engineering ◽  
Design Work ◽  
Literature Reviews ◽  
Specific Discipline ◽  
User Demand ◽  
New Methodologies ◽  
Purchasing Behaviour

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.

Emotional design method of product presented in multi-dimensional variables based on Kansei Engineering

2014 ◽  
Vol 25 (4-6) ◽  
pp. 194-212 ◽  
Author(s):  
Fu Guo ◽  
Wei Lin Liu ◽  
Fan Tao Liu ◽  
Huan Wang ◽  
Tian Bo Wang
Keyword(s):  
Design Method ◽  
Emotional Design ◽  
Kansei Engineering

scholarly journals Kansei engineering, emotional design and ergo design as shaping tools in architecture and design

2021 ◽  
Vol 274 ◽  
pp. 01023
Author(s):  
Ilgina Shakirova
Keyword(s):  
Human Life ◽  
Modern World ◽  
Emotional Design ◽  
Kansei Engineering ◽  
Object Based ◽  
Architecture And Design ◽  
Different Levels ◽  
Familiar Objects

This article considers the shaping methods in architecture and design, namely emotional design and ergo design and Kansei engineering. The essence of these shaping methods explains how these methods relate to each other and how they interact at different levels. There is a comparison of these shaping methods and an explanation why they should develop in parallel. It describes why these sciences are interpreted as human-oriented methods of object-based shaping and how they force us to rethink the human approach to the perception to familiar objects, and also describes their influence on the perception of surrounding objects by humans. Each of the presented shaping methods is considered as a new branch affecting different human life aspects. Article considers the fundamental factors of shaping methods, their relevance in the modern world, both as in the industrial and in the research worlds. Methods can be viewed collectively and separately, since each of them is functional and independent.

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