Solution to Resolve Cognitive Ambiguity in Interactive Customization of Product Shape

Zeng, Dong; Zhou, Zhuan; He, Maoen; Tang, Chaogang

doi:10.2991/ijcis.d.200511.001

Cited by 9 publications

(7 citation statements)

References 30 publications

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“…This shows that the clustering strategy can improve the individual evaluation, but it has no obvious impact on the cognition process of design tasks in the early stage of evolution. This also reflects the findings in the literature [19]. In addition, the "explicit-implicit" fused clustering method or Method C offers significant advantages in reducing the total time, and is superior to the traditional and clustering methods based on only the Hausdorff distance, thus revealing that the clustering results are consistent with the cognitive characteristics of users after comprehensively considering the explicit styling features and the implicit perceptual images.…”

Section: Experimental Results and Evaluationsupporting

confidence: 83%

“…Eight industrial design graduate students from the author's university (four males and four females between 23 and 26 years old) were invited as subjects by asking them in person to conduct a trial with the evolutionary design of the SUV profile based on five methods, which are: (A) the TIED process, (B) the clustering method based on the Hausdorff distance, (C) "explicit-implicit" fused clustering method, (D) methods in the literature [19], and (E) the method proposed in this paper. To ensure that all the subjects have the same level of experience in SUV styling design, none of the subjects invited were previously majors in automotive design, and none of them belong to the 30 students above.…”

Section: Experimental Results and Evaluationmentioning

confidence: 99%

“…Additionally, assigning evaluation values consumes the cognitive resources of users [8] because user preferences are difficult to quantify. In addition, the scheme layout is random and disorderly, which requires users to actively classify the schemes mentally [19]. De Koning et al [20] pointed out that if the cognitive information to be processed is placed closer, the cognitive efficiency of users is higher.…”

Section: Association Of Information In Ied Process For Product Stylingmentioning

confidence: 99%

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Cognitive Association in Interactive Evolutionary Design Process for Product Styling and Application to SUV Design

Zeng

Tang

et al. 2020

Electronics

Self Cite

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In recent years, intelligent design technology that is based on interactive evolutionary algorithms, namely interactive evolutionary design (IED) systems, has received extensive attention in the computer science, design, and other related literature. However, due to the complexity of design problems and the limitation of human cognitive ability, IED faces several challenges in actual design applications. With the aim to address these problems in the IED, this paper deconstructs the IED of the product styling from the perspective of the cognitive association of the users, and proposes a corresponding cognitive intervention method that is based on the association of information. We built databases of the perceptual evaluation results of typical cases and coded profiles of the typical cases, combined with the corresponding interaction process, to improve the efficiency of creating associations between dissimilar information in the early stages of evolution. Besides, in order to simplify the process of creating associations between similar information, this paper proposes a clustering model of similar information based on explicit and implicit distances. The proposed method is then applied to the evolutionary design of an SUV. The experimental results show that the proposed method reduces the initial and total evaluation time. Therefore, the proposed method improves users’ ability to understand the complex design tasks of IED for product styling, optimizing the interactive evaluation process by guiding designers to efficiently create the cognitive association of information, and increases the effectiveness of adopting IED to solve actual design problems about product styling.

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Section: Experimental Results and Evaluationsupporting

confidence: 83%

Section: Experimental Results and Evaluationmentioning

confidence: 99%

Section: Association Of Information In Ied Process For Product Stylingmentioning

confidence: 99%

See 1 more Smart Citation

Cognitive Association in Interactive Evolutionary Design Process for Product Styling and Application to SUV Design

Zeng

Tang

et al. 2020

Electronics

Self Cite

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“…Inconsistency between the users’ intents and the design proposals is easy to occur for it is difficult for the users to accurately express their personal preferences. For this, Zeng et al [ 37 ] proposed a "text-image-symbol" spatial mapping strategy and a clustering strategy to reduce the ambiguity effect of users in the process of product customization. Zhou and He [ 38 ] used the fuzzy hierarchical model to identify and classify user demands and developed a relevant importance model, by which the classification results for user demands may be better judged, thus enhancing the efficiency of customer customization.…”

Section: Related Workmentioning

confidence: 99%

User Experience of the Mobile Terminal Customization System: The Influence of Interface Design and Educational Background on Personalized Customization

Wang

Tian

et al. 2021

Sensors

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The study verified the role that different interface designs and users’ educational backgrounds play in the task performance and subjective evaluation of mobile terminal customization system. Interface type (based on scroll, alternative, and attribute) and user group (college students and industrial workers) were employed as the variables. A total of 72 users were included in the study, and an analysis of 3 × 2 between-participants design indicated that (1) Different interface designs of customization systems had a significant difference in task performance, the alternative based interface had the best results in the task performance, and there was no significant difference between the attribute-based and scroll-based interfaces in task performance; (2) The matching between educational background and interface type will affect the users’ evaluation on system usability. Industrial workers thought that the scroll-based and alternative-based interfaces were more useable, while college students preferred attribute-based interface design; (3) Different interfaces had a significant difference in user task load. The scroll-based interface had the lowest mental demand on the users, while alternative-based had the lowest physical demand on the users, though it consumed more effort; (4) Different educational backgrounds had a significant difference in user task load. Industrial workers showed lower effort in the scroll-based and alternative-based interfaces, while college students had lower effort in the attribution-based interface; (5) A correlation analysis showed that there was a significant negative correlation between the system usability score and the effort in task load. This study results have a positive significance for interface design. With educational background and layout as two important factors in our interface design, we may obtain the most appropriate design principles for enhancing the online customization experiences of different groups of consumers. The more important is that this study is based on the actual needs of the industry. For the first time, we take suitcase as an online customized product, which may not only help local manufacturers to extend their traditional offline distribution channels to online, but also provide a constructive thinking concerning interface design for customization of a single product.

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“…However, product customization poses great challenges to customers' professional knowledge and design ability. Interactive genetic algorithm (IGA) [2,3] is a very e ective method to help customers design products. It is also a good way to integrate products and people's ideas, nally obtaining the optimal solution suitable for users through genetic evolution.…”

Section: Introductionmentioning

confidence: 99%

Improved Interactive Genetic Algorithm for Three-Dimensional Vase Modeling Design

Huang

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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Interactive genetic algorithm (IGA) is an effective way to help users with product design optimization. However, in this process, users need to evaluate the fitness of all individuals in each generation. It will cause users’ fatigue when users cannot find satisfactory products after multi-generation evaluations. To solve this problem, an improved interactive genetic algorithm (IGA-KDTGIM) is proposed, which combines K-dimensional tree surrogate model and a graphic interaction mechanism. In this algorithm, the K-dimensional tree surrogate model is built on the basis of users' historical evaluation information to assist the user's evaluation, so as to reduce the times of users' evaluation. At the same time, users are allowed to interact with the graphic interface to adjust the shape of the individual, so as to increase users' creation fun and to make the evolution direction of the population conform to users' expectations. The IGA-KDTGIM is applied to the 3D vase design system and independently experimented with IGA, IGA-KDT, and IGA-GIM, respectively. The average fitness, maximum average fitness, and evaluation times of statistical data were compared and analyzed. Compared with traditional IGA, the number of evaluations required by users decreased by 60.0%, and the average fitness of the population increased by 15.0%. The results show that this method can reduce the users' operation fatigue and improve the ability of finding satisfactory solutions to a certain extent.

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Solution to Resolve Cognitive Ambiguity in Interactive Customization of Product Shape

Cited by 9 publications

References 30 publications

Cognitive Association in Interactive Evolutionary Design Process for Product Styling and Application to SUV Design

Cognitive Association in Interactive Evolutionary Design Process for Product Styling and Application to SUV Design

User Experience of the Mobile Terminal Customization System: The Influence of Interface Design and Educational Background on Personalized Customization

Improved Interactive Genetic Algorithm for Three-Dimensional Vase Modeling Design

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