International Journal of Computational Intelligence Systems

In Press, Uncorrected Proof, Available Online: 22 May 2020

Solution to Resolve Cognitive Ambiguity in Interactive Customization of Product Shape

Authors
Dong Zeng1, 2, Zhuan Zhou1, *, Maoen He1, Chaogang Tang3
1 School of Design and Architecture, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou, 221000, P.R. China
2 School of Information and Control Engineering, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou, 221000, P.R. China
3 School of Computer Science and Technology, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou, 221000, P.R. China
*Corresponding author. Email: 15695163749@163.com
Corresponding Author
Zhuan Zhou
Received 23 September 2019, Accepted 7 May 2020, Available Online 22 May 2020.
DOI
https://doi.org/10.2991/ijcis.d.200511.001How to use a DOI?
Keywords
User customization, Decision-making, Product shape design, Cognitive ambiguity, Interactive genetic algorithm
Abstract

Interactive genetic algorithms have been used in a wide variety of applications and extensively developed to facilitate the personalization and customization of products for users. However, the ambiguity effect or cognitive ambiguity of users during the product customization process will affect the effects of the final customized product. Here, we first deconstructed the ambiguity effect into cognitive ambiguity during early decision-making and that during the decision-making process. A spatial mapping strategy that involves “text-image-symbol” and a clustering strategy were then proposed to mitigate cognitive ambiguity in the two different stages, respectively. Then, a specific application example—“Chinese vase design” was studied. Based on the proposed strategy and interactive genetic algorithm, a prototype of computer-aided design system for product modeling was developed by MATLAB software. Then, 10 users were invited to experiment at three different cases (not using the proposed strategy, using spatial mapping strategy, using spatial mapping strategy and scheme clustering strategy). The experiment results have verified that the spatial mapping strategy was efficient to solve cognitive ambiguity during early decision-making, and clustering strategy was efficient to solve cognitive ambiguity during the decision-making process.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Publication Date
2020/05
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.d.200511.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Dong Zeng
AU  - Zhuan Zhou
AU  - Maoen He
AU  - Chaogang Tang
PY  - 2020
DA  - 2020/05
TI  - Solution to Resolve Cognitive Ambiguity in Interactive Customization of Product Shape
JO  - International Journal of Computational Intelligence Systems
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200511.001
DO  - https://doi.org/10.2991/ijcis.d.200511.001
ID  - Zeng2020
ER  -