scholarly journals Research on Optimized Product Image Design Integrated Decision System Based on Kansei Engineering

2020 ◽  
Vol 10 (4) ◽  
pp. 1198 ◽  
Author(s):  
Lei Xue ◽  
Xiao Yi ◽  
Ye Zhang
Keyword(s):  
Decision Model ◽  
Type I ◽  
Design Decision ◽  
Kansei Engineering ◽  
Decision System ◽  
Meaningful Improvement ◽  
Quantification Theory ◽  
Design Elements ◽  
Product Image ◽  
Qualitative Decision

In order to facilitate the development of product image design, the research proposes the optimized product image design integrated decision system based on Kansei Engineering experiment. The system consists of two sub-models, namely product image design qualitative decision model and quantitative decision model. Firstly, using the product image design qualitative decision model, the influential design elements for the product image are identified based on Quantification Theory Type I. Secondly, the quantitative decision model is utilized to predict the product total image. Grey Relation Analysis (GRA)–Fuzzy logic sub-models of influential design elements are built up separately. After that, utility optimization model is applied to obtain the multi-objective product image. Finally, the product image design integrated decision system is completed to optimize the product image design in the process of product design. A case study of train seat design is given to demonstrate the analysis results. The train seat image design integrated decision system is constructed to determine the product image. This shows the proposed system is effective and for predicting and evaluating the product image. The results provide meaningful improvement for product image design decision.

scholarly journals Kansei Analysis of the Japanese Residential Garden and Development of a Low-Cost Virtual Reality Kansei Engineering System for Gardens

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Tatsuro Matsubara ◽  
Shigekazu Ishihara ◽  
Mitsuo Nagamachi ◽  
Yukihiro Matsubara
Keyword(s):  
Virtual Reality ◽  
Low Cost ◽  
Multiple Correlation Coefficient ◽  
Engineering System ◽  
Type I ◽  
Kansei Engineering ◽  
Quantification Theory ◽  
Garden Design ◽  
Design Elements ◽  
Residential Garden

Residential garden design using Kansei engineering is a challenging problem. Landscaping components, such as rocks, trees, and ponds, are widely diversified and have a large number of possible arrangements. This large number of design alternatives makes conventional analyses, such as linear regression and its variations like Quantification Theory Type I (QT1), inapplicable for analyzing the relationships between design elements and the Kansei evaluation. We applied a partial least squares (PLS) model that effectively deals with a large number of predictor variables. The multiple correlation coefficient of the PLS analysis was much higher than that of the QT1 analysis. The results of the analyses were used to create a low-cost virtual reality Kansei engineering system that permits visualization of garden designs corresponding to selected Kansei words. To render complex garden scenes, we developed an original 3D computation and rendering library built on Java. The garden is shown in public-view style with stereo 3D graphic projection. The rendering is scalable from low to high resolution and enables drop object shadowing, which is indispensable for considering the effect of daytime changes in insolation. Visualizing the garden design based on Kansei analysis could facilitate collaboration between the designer and customer in the design process.

Quantifying Customer Perception of Product Harmony Using Kansei Engineering Method

2002 ◽  
Vol 46 (6) ◽  
pp. 720-724 ◽  
Author(s):  
Lijian Zhang
Keyword(s):  
Interior Design ◽  
Truck Drivers ◽  
Design Parameters ◽  
Kansei Engineering ◽  
Vehicle Interior ◽  
Quantification Theory ◽  
Customer Perception ◽  
Design Elements ◽  
Design Engineers ◽  
Significant Difference

Vehicle interior harmony has drawn increasing attention from customers in recent years. Kansei Engineering is an effective approach to quantify customers' perception of harmony, and to correlate it to design parameters of the products. Herein, we investigated the customer perception of the visual aspects of commercial truck door interior design using classification methods. This article describes how these visual impressions are related to design elements using quantification theory, a commonly used method in Kansei Engineering. The results reveal that trim material, shape, color, window shape, and map pocket are design elements that strongly affect the perception of “elegance” and preferences of truck drivers. The results also showed a significant difference between the perception of the truck drivers and that of design engineers.

scholarly journals Redesign the User Interface of the Purwakarta Disdukcapil Mobile Application Using Kansei Engineering

SinkrOn ◽  
2022 ◽  
Vol 7 (1) ◽  
pp. 66-75
Author(s):  
Yudhi Raymond Ramadhan ◽  
Imam Maruf Nugroho ◽  
Imam Khaerul Anwar
Keyword(s):  
User Interface ◽  
Mobile Application ◽  
Partial Least Square ◽  
Least Square ◽  
Type I ◽  
Kansei Engineering ◽  
Design Factor ◽  
Design Elements ◽  
Ui Design ◽  
Emotional Factors

The function and usability of a mobile application are the main reasons for making the application. In addition, the User Interface (UI) design factor is also an important consideration in making a mobile application. Good UI design is the main attraction for the application to use. There are many ways to make a good UI design. Kansei Engineering (KE) is one of the methods that can be used in the UI design process. Since the creation of the Mobile Disdukcapil application, there has never been a study on the application's design interface. This research aims to make recommendations on design elements desired by users. The KE method can detect the user's feelings towards an interface. So that the KE method will produce a UI design for the Disdukcapil mobile application that is liked by the user. The methodology used refers to the Kansei Engineering Type I methodology. This research uses Kansei Words to represent the emotional factors of the user when viewing a product specimen. Kansei Word used as many as 10 words related to the UI display on the mobile application. The mobile application specimens used were 5 specimens, which were taken from various similar applications. This study involved 80 participants to fill out the questionnaire. The results of the questionnaire were processed using multivariate statistical analysis, namely Cronbach's Alpha, Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA), and Partial Least Square (PLS). The results of this study are in the form of recommendations for UI design elements based on the most dominant emotional factors. Based on the results of data processing, the dominant emotional factors are "Colorful" and "Simple".

scholarly journals Influence of Personality Traits on Consumer Preferences: The Case of Office Chair Selection by Attractiveness

2018 ◽  
Vol 10 (11) ◽  
pp. 4183 ◽  
Author(s):  
Ya-Chuan Ko ◽  
Chi-Hung Lo ◽  
Chi-Chuan Chen
Keyword(s):  
Personality Traits ◽  
Work Environment ◽  
Consumer Preferences ◽  
Working Hours ◽  
Living Standards ◽  
Office Workers ◽  
Type I ◽  
Quantification Theory ◽  
Design Elements ◽  
Office Environment

With increasing living standards, a modern product is required to provide emotional links between a user’s personality and their work environment, in addition to satisfying functional and physiological needs. Since office workers in Taiwan have average daily working hours of over 8 h, they spend lots of time on office chairs, and nowadays more companies are willing to buy good chairs so that their employees can deliver higher efficiency under a more comfortable office environment. After interviewing a group of experts, office chairs are classified into 7 types, and the participants’ personality traits are classified into 4 categories. The influence of different personality traits on the evaluation of office chairs by attractiveness is analyzed by quantification theory type I. Design elements that can better deliver an office chair’s attractiveness are determined. The results allow future designers to improve their designs by identifying the preferences of target users under difference office scenarios.

scholarly journals Study on the Attractiveness Factors of Online Courses

2019 ◽  
Vol 9 (2) ◽  
pp. 128 ◽  
Author(s):  
Jia-Xuan Han ◽  
Min-Yuan Ma
Keyword(s):  
Online Teaching ◽  
Online Courses ◽  
Rapid Development ◽  
Grid Method ◽  
Type I ◽  
Digital Learning ◽  
Key Factors ◽  
Quantification Theory ◽  
Global Trend ◽  
Education Industry

With the rapid development of online courses, digital learning has become a global trend. In this context, this study analyzed the high intake population of online courses for online affective cognition, and explored what the user’s attraction factors for online courses are. The key factors that affect consumers’ usage of online courses and the weights of impact relations are presented, aiming to provide guidance for future improvement of online courses. This study was conducted through the evaluation grid method of Miryoku engineering. In order to make the charm factors more accurate and representative, this study summarized the charm elements using the Kawakita Jiro (KJ) method, and then quantified the factors in the form of a questionnaire. Through the statistical analysis of the questionnaire and quantification theory type I, the correlation between the charm feeling and the online course as well as the weight of each item (original evaluation item) and category (specific evaluation item) were calculated. Through the research and discussion on the charm factors of online teaching, the results analyzed and integrated in this paper could give more substantive suggestions and help to the education industry.

scholarly journals Is the Linear Modeling Technique Good Enough for Optimal Form Design? A Comparison of Quantitative Analysis Models

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Yang-Cheng Lin ◽  
Chung-Hsing Yeh ◽  
Chen-Cheng Wang ◽  
Chun-Chun Wei
Keyword(s):  
Product Design ◽  
Design Process ◽  
Design Approach ◽  
Modeling Technique ◽  
Type I ◽  
Linear Modeling ◽  
Optimal Form ◽  
Product Image ◽  
Form Design ◽  
Product Forms

How to design highly reputable and hot-selling products is an essential issue in product design. Whether consumers choose a product depends largely on their perception of the product image. A consumer-oriented design approach presented in this paper helps product designers incorporate consumers’ perceptions of product forms in the design process. The consumer-oriented design approach uses quantification theory type I, grey prediction (the linear modeling technique), and neural networks (the nonlinear modeling technique) to determine the optimal form combination of product design for matching a given product image. An experimental study based on the concept of Kansei Engineering is conducted to collect numerical data for examining the relationship between consumers’ perception of product image and product form elements of personal digital assistants (PDAs). The result of performance comparison shows that the QTTI model is good enough to help product designers determine the optimal form combination of product design. Although the PDA form design is used as a case study, the approach is applicable to other consumer products with various design elements and product images. The approach provides an effective mechanism for facilitating the consumer-oriented product design process.

scholarly journals Measuring the appeal of mobility-augmented reality games, based on the innovative models of interaction: a case study

2019 ◽  
Vol 1 (12) ◽  
Author(s):  
Kai-Shuan Shen
Keyword(s):  
Augmented Reality ◽  
Human Computer Interaction ◽  
Interaction Model ◽  
Grid Method ◽  
Online Marketing ◽  
Type I ◽  
Quantification Theory ◽  
Pokémon Go ◽  
Design Characteristics ◽  
Computer Interaction

AbstractThis study presents the issues why gamers prefer mobility-augmented reality games to other types of game and what specific characteristics cause them to invest a large amount of their time on tireless game-play. Furthermore, the appeal of mobility-augmented reality games was studied to solve the above mentioned issues. Then, how human–computer interaction based on mobility-augmented reality games was promoted to create a new marketing mode was explored. Then, Pokémon GO, as the worldwide major mobility-augmented reality game, was selected as the research target in this study. The researcher interviewed 9 experts, collected 235 Knasei words from 33 articles, and surveyed 335 gamers through a questionnaire to collect the data about users’ preferences. A preference-based study was believed to disclose the motivated reasons for the appeal of mobility-augmented reality games. The researcher analyzed the gathered Kansei concepts and questionnaires using the two-stage procedures, including evaluation grid method (EGM) and Quantification Theory Type I. During the first stage the hierarchy of the relationship among the types of appeal factors, the reasons for users’ preferences, and the explicit design characteristics of Pokémon GO present the semantic structure of appeal and were determined using EGM through the accumulation of the review of articles and the interviews of experts. During the second stage the strongest two original evaluation items of Pokémon GO are determined as “social interaction” and “scenario interaction” based on the statistical analysis of Quantification Theory Type I, and their corresponding “upper-level” and “lower-level” considerations are proved to have influence on them. Finally, the paper found that the popularity of Pokémon GO can be ascribed to the design of the innovative models of game interaction, which targets the psychological preferences of gamers. This means that the interaction model between a customer and an enterprise can be developed outside the box and a new type of marketing can be formed. The study proved that the innovative models of interaction successfully drove gamers’ motivations to play Pokémon GO. Designers and researchers of mobility-augmented reality games can absorb important information through this study. This study enriches the field of mobile communication, online marketing, and human–computer interaction in cyberspace.

Integrating Market Research With the Product Development Process: A Step Towards Design for Profit

2001 ◽  
Author(s):  
Satyandra K. Gupta ◽  
Anoop K. Samuel
Keyword(s):  
Product Development ◽  
Decision Model ◽  
Market Research ◽  
Development Process ◽  
Measurement Techniques ◽  
Product Development Process ◽  
Evaluation Procedure ◽  
Conjoint Measurement ◽  
Design Decision ◽  
Design Option

Abstract This paper describes a systematic approach for integrating market research with the product development process. The following three problems are addressed in this paper. First, a demand estimation algorithm has been developed based on conjoint measurement techniques. Second, an integrated design decision model has been developed. The main components of this design decision model are representation of available design options using AND/OR tree based representation, and an evaluation procedure for evaluating profit resulting from a design option. Third, a heuristic search technique has been developed that makes use of the design decision model to select the design option that maximizes the profit. Integration of market research with the product development process is expected to result in the following two benefits. First, it will reduce the number of design iterations. Second, it will help the design team in finding the most profitable product designs.

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