Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron

Sophisticated consumers and high cornpetitive environment has forced designers and manufacturers to realize the importance of consumers emotion in creative product design. The design must be able to incorporate high acceptance and have persuasive power. Kansei Engineering (KE) is a technology that p...

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Main Author:	Che Haron, Mohammad Bakri
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Electronic data processing. Computer-aided engineering
Online Access:	http://ir.uitm.edu.my/id/eprint/16291/ http://ir.uitm.edu.my/id/eprint/16291/2/TM_MOHAMMAD%20BAKRI%20CHE%20HARON%20CS%2013_5.pdf

id	uitm-16291
recordtype	eprints
spelling	uitm-162912019-02-04T05:47:47Z http://ir.uitm.edu.my/id/eprint/16291/ Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron Che Haron, Mohammad Bakri Electronic data processing. Computer-aided engineering Sophisticated consumers and high cornpetitive environment has forced designers and manufacturers to realize the importance of consumers emotion in creative product design. The design must be able to incorporate high acceptance and have persuasive power. Kansei Engineering (KE) is a technology that provides an insight into consumers psychological feelings when interacting with a product. KE is able to capture and determine the relationship between these feelings with product characteristics. These characteristics are then translated into the design and creation of products that can entice consumers to buy the product, hence increasing the rnarketability of the product in a highly competitive market. KE technological process generally consists phases; determination of specific domain and target market; Kansei evaluation; Kansei analysis, and formulating design guideline based on the interpretation of the data analysis. KE analysis' and interpretation requires a Kansei expert to deterrnine a set of related Kansei Words that identifies significant consumer and product relationship factor. However, there are not many kansei experts in the world today and there is no rule of thurnb or specific guide in the process. In this research, Natphoric algorithm is used in order to simulate how the experts find the significant factor of emotions. The Natphoric algorithm learns the process done by training with sets of training data from previous KE research works. This research proposes a Natphoric algorithrn to capture and simulate the expert kansei knowledge. The Natphoric algorithm is formulated to handle the complexity and flexibility in KE. To realize the development of computer-aided KE system, a framework for automated KE is designed. The designed framework incorporated a step-by-step technique of the use of 4I<:E Type 1 and automate the word classification process that usually requires expertise in KE. A prototype is developed to test the framework. Result shows that the automated KE prototype is able to produce similar result with the expert. The research outcome will benefit the product inventors and designers, especially in Malaysia, where there is in need of a good design rnethod to produce innovative product. The invention of this system will help to boost the movement towards achievement of the objectives. 2013 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/16291/2/TM_MOHAMMAD%20BAKRI%20CHE%20HARON%20CS%2013_5.pdf Che Haron, Mohammad Bakri (2013) Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron. Masters thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronic data processing. Computer-aided engineering
spellingShingle	Electronic data processing. Computer-aided engineering Che Haron, Mohammad Bakri Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron
description	Sophisticated consumers and high cornpetitive environment has forced designers and manufacturers to realize the importance of consumers emotion in creative product design. The design must be able to incorporate high acceptance and have persuasive power. Kansei Engineering (KE) is a technology that provides an insight into consumers psychological feelings when interacting with a product. KE is able to capture and determine the relationship between these feelings with product characteristics. These characteristics are then translated into the design and creation of products that can entice consumers to buy the product, hence increasing the rnarketability of the product in a highly competitive market. KE technological process generally consists phases; determination of specific domain and target market; Kansei evaluation; Kansei analysis, and formulating design guideline based on the interpretation of the data analysis. KE analysis' and interpretation requires a Kansei expert to deterrnine a set of related Kansei Words that identifies significant consumer and product relationship factor. However, there are not many kansei experts in the world today and there is no rule of thurnb or specific guide in the process. In this research, Natphoric algorithm is used in order to simulate how the experts find the significant factor of emotions. The Natphoric algorithm learns the process done by training with sets of training data from previous KE research works. This research proposes a Natphoric algorithrn to capture and simulate the expert kansei knowledge. The Natphoric algorithm is formulated to handle the complexity and flexibility in KE. To realize the development of computer-aided KE system, a framework for automated KE is designed. The designed framework incorporated a step-by-step technique of the use of 4I<:E Type 1 and automate the word classification process that usually requires expertise in KE. A prototype is developed to test the framework. Result shows that the automated KE prototype is able to produce similar result with the expert. The research outcome will benefit the product inventors and designers, especially in Malaysia, where there is in need of a good design rnethod to produce innovative product. The invention of this system will help to boost the movement towards achievement of the objectives.
format	Thesis
author	Che Haron, Mohammad Bakri
author_facet	Che Haron, Mohammad Bakri
author_sort	Che Haron, Mohammad Bakri
title	Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron
title_short	Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron
title_full	Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron
title_fullStr	Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron
title_full_unstemmed	Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron
title_sort	developing framework for natphoric computer-aided web-based kansei engineering / mohammad bakri che haron
publishDate	2013
url	http://ir.uitm.edu.my/id/eprint/16291/ http://ir.uitm.edu.my/id/eprint/16291/2/TM_MOHAMMAD%20BAKRI%20CHE%20HARON%20CS%2013_5.pdf
first_indexed	2023-09-18T22:55:44Z
last_indexed	2023-09-18T22:55:44Z
_version_	1777417841337696256

Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron

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