The study of charm factor of stationery shop

Han, Jia Liang; Yuan, Man

doi:10.1080/09720502.2017.1420559

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…It is aimed at creating attractive products, spaces, and services [5]. Miryoku engineering focuses on the consumer's inner subtle feelings [3]. Attractiveness can arouse consumers' potential sensory pleasures and satisfy their desire for dreams [6].…”

Section: Miryoku (Attractiveness) Engineeringmentioning

confidence: 99%

“…Jing-Song Huang and others mentioned that attractiveness could gain consumers' attention, and the charm of the product comes not only from the function of the product itself but also from other external services. Consumer preferences are influenced by product appeal, and the discussion of attractiveness elements has an important influence, so discussing the charm of online course elements is helpful for online development in the future [3].…”

Section: Introductionmentioning

confidence: 99%

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Study on the Attractiveness Factors of Online Courses

Han

Yuan

2019

Education Sciences

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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.

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Section: Miryoku (Attractiveness) Engineeringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on the Attractiveness Factors of Online Courses

Han

Yuan

2019

Education Sciences

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“…In the recent years, many scholars have successfully applied Miryoku engineering in the fields of car form design [8], ecological tourism [9], music games [10], and other fields, such as Han and Ma [11] used the method of Miryoku engineering to capture the charm factor of the stationary store. Park et al [12] applied Miryoku engineering to analyze the user experience design of mobile hospital applications.…”

Section: Introductionmentioning

confidence: 99%

Combining Grey Relationship Analysis and Neural Network to Develop Attractive Automobile Booth Design

Kang

2020

Computational Intelligence and Neuroscience

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Miryoku engineering is a design concept based on customer preferences, with the goal of creating attractive products or spaces. However, traditional Miryoku engineering faces two main issues: (1) the upper Kansei factor ranks the weights by the number of mentions, but it does not represent the importance of customers; (2) the mapping connection between the upper Kansei factor and the lower specific conditions adopts a statistical analysis method, which easily leads to the omission of key information. With the development of computer-based artificial intelligence, it repeatedly simulates human thinking with simple calculation rules, which has the advantages of fewer errors and faster speed. Therefore, on the three-level evaluation grid diagram platform established by Miryoku engineering, this paper first uses grey relationship analysis to comprehensively evaluate the priority order of Kansei words. Secondly, for the key Kansei factors, a morphological deconstruction table that connects the original reasons and specific conditions is established. Orthogonal design is used to screen representative combinations of design elements and create sample models by using the 3D software. Finally, the neural network was used to establish a mapping function between the key Kansei factors and the representative product design elements, and based on this, the most perceptually attractive product design was discovered. As a case study, the automobile booth was used to validate the effectiveness of the proposed method and significantly improve exhibitor design decisions and attendees’ satisfaction.

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A consumer-oriented design thinking model for product design education

et al. 2021

Interactive Learning Environments

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The study of charm factor of stationery shop

Cited by 4 publications

References 2 publications

Study on the Attractiveness Factors of Online Courses

Study on the Attractiveness Factors of Online Courses

Combining Grey Relationship Analysis and Neural Network to Develop Attractive Automobile Booth Design

A consumer-oriented design thinking model for product design education

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