Supporting technology-enabled design education and practices by DFuzzy decision model: applications of cultural and creative product design

Hsueh, Sung‐Lin; Zhou, Bin; Chen, Yu-Lung; Yan, Min‐Ren

doi:10.1007/s10798-021-09681-7

Cited by 21 publications

(8 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The outcomes related to organizations include collective/team creativity (e.g., Héraud, 2021; Yuan et al, 2022), individual creativity (e.g., Leon et al, 2019; Nguyen, Mai, et al, 2020; Weingarten et al, 2020), individual/organizational performance (e.g., Naseer et al, 2021), and organizational creativity (e.g., Hsueh et al, 2021; Orth & Volmer, 2017; Valaei et al, 2017). The outcomes related to production include such factors as creative production (e.g., Balietti & Riedl, 2021; Lee et al, 2003), product creativity (e.g., Alves et al, 2021; Hsueh et al, 2021; Vitrano et al, 2021), product/service innovation (e.g., Ogbeibu et al, 2020; Ogbeibu et al, 2021; Weingarten et al, 2020) and advertising creativity (e.g. Lies, 2021; Shen et al, 2020; Vakratsas & Wang, 2020).…”

Section: Discussionmentioning

confidence: 99%

Toward advancing theory on creativity in marketing and artificial intelligence

Ameen

Sharma

Tarba

et al. 2022

Psychology and Marketing

View full text Add to dashboard Cite

Creativity has been identified as the future of marketing; at the same time, artificial intelligence (AI) is enabling more automation in this field. The theories and frameworks in the literature have not yet sufficiently explained the impact of AI on creativity in marketing. Hence, this research aims to advance theories on creativity in marketing and AI by conducting a comprehensive review of the literature. Our review covers 156 papers published between 1990 and 2021, compiled on the basis of the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol and the theory-contextcharacteristics-methodology framework. We advance theory in the field byproposing a new organizing framework to guide the integration of the identified themes and synthesize the antecedents, dimensions, and outcomes of creativity in marketing and AI. Furthermore, to assist academics and practitioners we propose a typology of the key skills required for creativity in marketing and the impact of specific AI capabilities on these skills. This article serves as a foundation for researchers by providing a holistic understanding of the integration of AI into creativity in marketing.

show abstract

Section: Discussionmentioning

confidence: 99%

Toward advancing theory on creativity in marketing and artificial intelligence

Ameen

Sharma

Tarba

et al. 2022

Psychology and Marketing

View full text Add to dashboard Cite

show abstract

“…If the Creator’s intention was to make humans become an expert, then he should let humans have eyes with microscopes (1969).” In terms of specific teaching methods, with the application of AI technology in the education field, the traditional one-to-many teaching model can be changed, and new teaching methods such as one-to-one online teaching can be tried ( Lei and Guochun, 2019 ). Especially in the face of extreme environments, such as the coronavirus disease 2019 (COVID-19) pandemic from 2020 to the present, the importance of changing the teaching mode and adopting online teaching methods has been highlighted ( Pierson, 2001 ; Komis et al, 2007 ; Morsink et al, 2011 ; Kabakşı-Yurdakul et al, 2012 ; Rienties et al, 2013 ; Kirkland, 2014 ; Oakley and Pegrum, 2015 ; Hilton, 2016 ; Kihoza et al, 2016 ; Shah et al, 2017 ; Shadiev, 2018 ; Kemp, 2019 ; Seifi et al, 2020 ; Hsueh et al, 2021 ; Hughes et al, 2021 ; Jaspers, 2021 ; Özgen et al, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

New Strategies and Practices of Design Education Under the Background of Artificial Intelligence Technology: Online Animation Design Studio

Tang

2022

Front. Psychol.

View full text Add to dashboard Cite

This study is based on the background of how artificial intelligence (AI) technology is applied to the field of creativity and design education to improve the design vision, teaching methods, and actual design productivity of practitioners. The purpose of the research is to compare traditional design education and new design education methods combined with AI technology. Taking the Technological Pedagogical Content Knowledge (TPACK) technology integration model as the starting point, a comprehensive evaluation is selected for different types of research to explore the animation design professional courses in design education, the content of students’ perception preferences, and the evaluation of ease of learning so as to conduct research and analyze AI technology. Design new education strategies and practice methods under the background. In the research, a comparative experimental study was conducted on 40 first-year students majoring in animation design. The results show that through online design studio project practice, with personalized project learning guidance, the learning needs of students to show a better trend, and customized learning and project practice content can enhance the learning experience and performance of students. In the future, we can further expand the scope of analysis, include more case studies, and conduct more comprehensive research, including how to deal with the expansion of the platform for students’ learning of design in situations similar to coronavirus disease 2019 (COVID-19) that profoundly affects our lives, and how the project is applied in practice.

show abstract

“…VGG-19 network has a strong ability for feature presentation and detail description and can extract more features and details [24,25]. erefore, based on the VGG-19 network model, the Shanghai-style watercolor painting style is transferred.…”

Section: Design Of Watercolor Cultural and Creative Products Based On...mentioning

confidence: 99%

Design of Watercolor Cultural and Creative Products Based on Style Transfer Algorithm

Wang

Alamusi.²

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Due to the long design cycle of watercolor cultural and creative products, a design method based on style transfer algorithm is proposed. Here, the design of Shanghai style watercolor painting cultural and creative products is taken as the research object, VGG-19 network is used as the style transfer model, and the loss function of style transfer algorithm is designed. The simulation results show that the proposed method can effectively extract and reconstruct the color, texture, brushstroke, and other styles of Shanghai style watercolor painting. The generated new images are added as design elements, which makes the cultural and creative products have both appearance and personalization. In addition, the newly generated cultural and creative products have also obtained high satisfaction from experts and users, which meet the aesthetic changes. It can be seen that proposed method provides a new idea for the design of watercolor cultural and creative products, which shortens the product design cycle, reduces the design cost, and has a certain practicality.

show abstract

Supporting technology-enabled design education and practices by DFuzzy decision model: applications of cultural and creative product design

Cited by 21 publications

References 51 publications

Toward advancing theory on creativity in marketing and artificial intelligence

Toward advancing theory on creativity in marketing and artificial intelligence

New Strategies and Practices of Design Education Under the Background of Artificial Intelligence Technology: Online Animation Design Studio

Design of Watercolor Cultural and Creative Products Based on Style Transfer Algorithm

Contact Info

Product

Resources

About