2023
DOI: 10.1016/j.aei.2023.102058
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A product form design method integrating Kansei engineering and diffusion model

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Cited by 33 publications
(6 citation statements)
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“…Employing AI to generate images has recently become a research hotspot [30][31][32]. With almost the best performance, diffusion models have been widely applied in many cutting-edge fields [18,33,34].…”
Section: Fine-tuned Diffusion Modelmentioning
confidence: 99%
“…Employing AI to generate images has recently become a research hotspot [30][31][32]. With almost the best performance, diffusion models have been widely applied in many cutting-edge fields [18,33,34].…”
Section: Fine-tuned Diffusion Modelmentioning
confidence: 99%
“…KE emphasizes how design improvements may elevate user satisfaction and human-device interactions. These encompass variety of fields like web-based user interface [15], [16], mobile app [18], robotic [40], [41], and pervasive or ubiquitous product designs [19].…”
Section: B Effective Emotion Elicitation Using Kansei Engineeringmentioning
confidence: 99%
“…However, these endeavors often maintain a broad perspective, exemplified by [14], which presented a comprehensive compilation of more than 800 keywords that are relevant to IT-based products in general. Conversely, alternative research endeavors concentrate their attention on specific categories of applications, such as web-based [15], [16] or mobile-based applications [17], [18]. Nevertheless, their investigations primarily centered around conventional application types.…”
Section: Introductionmentioning
confidence: 99%
“…With the emergence of interdisciplinary trends in industrial design theory, the research methods on the Kansei image encompass both quantitative and qualitative approaches. The quantitative research method mainly combines factor analysis, design format analysis, and other methods to extract the emotional information of products [18]. The qualitative research methods are combined with cognitive psychology [19], prototype theory [20], grounded theory [21], and others.…”
Section: Literature Reviewmentioning
confidence: 99%