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.

Computer Aided Automotive Interior Design for Kansei Engineering

2011 ◽  
Vol 130-134 ◽  
pp. 504-507 ◽  
Author(s):  
Li Hong Zhu ◽  
Han Zhao ◽  
Xiao Chen Yin ◽  
Li Jun Zhu ◽  
Liang Zhang
Keyword(s):  
Interior Design ◽  
Automotive Industry ◽  
Computer Aided Design ◽  
Design Parameters ◽  
Kansei Engineering ◽  
Computer Aided ◽  
Quantitative Analysis Method ◽  
Aided Design ◽  
Industry Trends ◽  
Automotive Interior

Nowadays, the development of automotive industry trends more personalized and profuse product alternatives. Kansei Engineering has been applied to interior design for customer satisfaction based on ergonomic technology in the paper. The computer aided design automotive interior system includes two subsystems: one is Computer-aided Sensation Survey Subsystem and the other is Computer-aided Automobile Interior Design Subsystem. Mathematical statistics and quantitative analysis method are adopted to establish quantified relationship between product perceptual image and design parameters.

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 Redesain Kemasan Makanan Ringan Olahan pada UMKM Center Jawa Tengah dengan Metode Kansei Engineering

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Susatyo Nugroho ◽  
W, Darminto Pujotom ◽  
M. Mujiya Ulkhaq ◽  
Dedy Teguh Permadi
Keyword(s):  
Small And Medium Enterprises ◽  
Initial Study ◽  
Design Parameters ◽  
Kansei Engineering ◽  
Product Packaging ◽  
Design Elements ◽  
Packaging Design ◽  
Central Java ◽  
Medium Enterprises ◽  
Central Java Province

<span class="fontstyle0">UMKM (Micro, Small, and Medium Enterprises) Center in Central Java Province has 69 types of potential culinary products in the form of snacks. An initial study showed that from 47 MSMEs, there are 45 products which are packaged simply. The research was conducted to create a new packaging design which is appropriate for consumers' needs using Kansei Engineering. The method translates consumers' psychological feelings into new packaging design parameters as well as statistics analysis to elicit design elements in accordance with Kansei Word. Affective and psychological aspects that affect consumers on product packaging are "adorable" and "simplicity". Each component has different Kansei word variables. Adorable component has informative, modern, colorful, interesting, and distinctive variables; whereas Kansei word with the largest weight is colored with the value of 0.961 and the smallest weight is modern with the value of 0.819. Simplicity component has simple, easy-to-carry, and easy-to-open; whereas Kansei word with the largest weight is easy-to-open with the value of 0.927 and the smallest weight is simple with the value of -0.414.</span>

Investigating vehicle interior designs using models that evaluate user sensory experience and perceived value

2019 ◽  
Vol 34 (3) ◽  
pp. 401-420 ◽  
Author(s):  
Ching-Chien Liang ◽  
Ya-Hsueh Lee ◽  
Chun-Heng Ho ◽  
Kuo-Hsiang Chen
Keyword(s):  
Interior Design ◽  
Evaluation Model ◽  
Perceived Value ◽  
Sensory Experience ◽  
Quality Factors ◽  
Vehicle Interior ◽  
Interior Space ◽  
Quantification Theory ◽  
Value Evaluation ◽  
Automotive Interior

AbstractThis study adopted a Kansei engineering methodology to examine users’ Kansei values toward automotive interior designs by conducting experiments under two models: sensory experience and perceived value evaluation models. In the sensory experience model, 60 participants were recruited to experience using 27 vehicle samples and to assign scores to eight Kansei keywords. Hayashi's quantification theory type 1 was used to calculate the weight of 12 interior space items and 40 interior design categories. In the perceived value evaluation model, 60 participants completed a questionnaire on the influence levels of the Kansei keywords on their Kansei values from the perspectives of four consumer perceived value dimensions. The questionnaire scores were then evaluated using factor analysis to extract nine primary factors affecting participants’ perceptions. This study determined that the interesting and dynamic perceptions corresponded to five design items under the Excitement Quality factors, vigorous and recreational perceptions corresponded to four items under the Relaxation and Comfort factor, and technological and luxurious perceptions corresponded to six items under the Luxury and Splendor factor and the Esteemed Image factor. These findings can help designers and researchers in the relevant sectors create automotive interior designs that fulfill the expectations of users.

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.

THE ROLE OF INTERIOR DESIGN ELEMENTS IN ACHIEVING THE EMPLOYEES PHYSIOLOGICAL NEEDS IN OFFICE BUILDINGS

2019 ◽  
Vol 14 (51) ◽  
pp. 764-779
Author(s):  
Hassan Metwally ◽  
Ahmed El Sayed ◽  
Hanan Ashraf Kamal El- Ashmawy
Keyword(s):  
Interior Design ◽  
Office Buildings ◽  
Design Elements

scholarly journals Urban Design and Walkability: Lessons Learnt from Iranian Traditional Cities

2021 ◽  
Vol 13 (10) ◽  
pp. 5731
Author(s):  
Elmira Jamei ◽  
Khatereh Ahmadi ◽  
Hing Wah Chau ◽  
Mehdi Seyedmahmoudian ◽  
Ben Horan ◽  
...  
Keyword(s):  
Urban Design ◽  
Urban Form ◽  
Design Parameters ◽  
Design Elements ◽  
Study Approach ◽  
Planning And Design ◽  
Planning Models ◽  
Mixed Use ◽  
Residential Quarters ◽  
Objectively Measured

Physical activity is connected to public health in many ways, and walking is its most popular form. Modern planning models have been applied to cities to manage rapid urban expansions. However, this practice has led to low level of walkability and strong car-dependency in today’s cities. Hence, this study aims to provide a review of the most promising urban design parameters affecting walkability, using Frank Lawrence’s theory of “Objectively Measured Urban Form” (density, connectivity and accessibility, and mixed-use development) as the basis of discussion. The second part of this paper takes a case study approach, through discussing the main design elements of traditional Iranian cities (mosques, bazaars, residential quarters, and alleyways) and analyses their impacts on promoting walkability. This study concludes that incorporating inherent values of traditional urban design elements will complement modern planning and design practices.

Evaluation of Product Preference Using Virtual Prototyping: Case Study of an Automobile Interior

2002 ◽  
Vol 46 (6) ◽  
pp. 740-744 ◽  
Author(s):  
Chul Woo Kim ◽  
Jungchul Park ◽  
Myung Hwan Yun ◽  
Sung H. Han ◽  
Hee-Dong Ko
Keyword(s):  
Virtual Reality ◽  
Interior Design ◽  
Evaluation Method ◽  
Product Evaluation ◽  
Steering Wheel ◽  
Subjective Impression ◽  
Design Elements ◽  
Design Alternatives ◽  
Virtual Prototypes ◽  
The Relationship

The objective of this study was to develop a product evaluation method applicable to virtual prototypes and to apply the method to automobile interior design. Considering that virtual reality-based product prototypes could represent design alternatives comparable to physical prototypes, prototypes developed in virtual reality environments were employed as design alternatives. After a procedure to evaluate virtual prototypes was developed specifically for a virtual reality environment, the procedure was applied to the problem of automobile interior design. 34 subjects evaluated 32 different virtual prototypes generated from the combination of design element variations. Four categories of subjective impression were used to evaluate the 32 virtual prototypes: luxuriousness, comfort, harmoniousness, and controllability. ANOVA and multiple linear regression analysis were performed to specify design elements critical to customer preference and to interpret the relationship between design elements and subjective impressions. As the result, the shapes of frontal area including crash pad and center fascia, door trim and steering wheel were selected as important variables related to subjective impressions. The proposed evaluation method for virtual prototypes could be utilized as an alternative way of identifying the relationship between subjective impressions and design elements.

Predictive Value of Assessing Vehicle Interior Design Ergonomics in a Virtual Environment

2004 ◽  
Vol 4 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Thomas Reuding ◽  
Pamela Meil
Keyword(s):  
Virtual Environments ◽  
Interior Design ◽  
Real World ◽  
Predictive Value ◽  
Work Processes ◽  
Complex Activity ◽  
Vehicle Interior ◽  
Design Work ◽  
The Real ◽  
The Stability

The predictive value and the reliability of evaluations made in immersive projection environments are limited when compared to the real world. As in other applications of numerical simulations, the acceptance of such techniques does not only depend on the stability of the methods, but also on the quality and credibility of the results obtained. In this paper, we investigate the predictive value of virtual reality and virtual environments when used for engineering assessment tasks. We examine the ergonomics evaluation of a vehicle interior, which is a complex activity relying heavily on know-how gained from personal experience, and compare performance in a VE with performance in the real world. If one assumes that within complex engineering processes certain types of work will be performed by more or less the same personnel, one can infer that a fairly consistent base of experience-based knowledge exists. Under such premises and if evaluations are conducted as comparisons within the VE, we believe that the reliability of the assessments is suitable for conceptual design work. Despite a number of unanswered questions at this time we believe this study leads to a better understanding of what determines the reliability of results obtained in virtual environments, thus making it useful for optimizing virtual prototyping processes and better utilization of the potential of VR and VEs in company work processes.

VIV Predictions for an SCR in Sheared Ocean Currents

2002 ◽  
Author(s):  
Christopher J. Wajnikonis
Keyword(s):  
Experimental Data ◽  
Design Parameters ◽  
Finite Element Analyses ◽  
Steel Catenary Riser ◽  
Specialized Software ◽  
Design Engineers ◽  
Sensitivity Studies ◽  
Deepwater Riser ◽  
Extended Program ◽  
Areas Of Interest

Vortex Induced Vibration (VIV) prediction is one of the key areas of interest in Deepwater Riser Engineering. Several Joint Industry Projects (JIPs) are currently in progress in this field, which results in an increase of experimental data available to design engineers, in revisions of specialized software and in development of new engineering tools. This paper presents VIV predictions for a hypothetical Steel Catenary Riser (SCR) using the latest versions of the SHEAR7 and the VIVA/VIVARRAY Programs. Both built-in and extended program capabilities are utilized and detailed plots of computation results are presented. Sensitivity studies on the influence of variations of selected design parameters are also included in the paper. Finite Element Analyses (FEAs) results and simple engineering tools were utilized in parallel to built-in program features. The calculations demonstrated, that for the riser investigated and presumably also for a wide variety of similar SCRs, that the built in program features are sufficient to predict VIVs conservatively. Notes on VIV predictions in a real ocean and on selected areas that require investigation are also included.

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