Research Library

open-access-imgOpen AccessGenerative Artificial Intelligence in Collaborative Ideation: Educational Insight from Fashion Students
Author(s)
Se Jin Kim
Publication year2024
Publication title
ieee access
Resource typeMagazines
PublisherIEEE
Image-generating AI provides diverse sources for ideation in fashion design education. This study explores how collaborative fashion ideation with AI influences image thinking and creativity in a changing media environment. The research method employed design workshops and in-depth interviews with 10 students. The findings reveal that collaborative fashion ideation with AI influences image thinking through visual expansion, exploration of its applicability in fashion, and identifying and lack of sociocultural understanding and identity in idea combination. Collaborative fashion ideation with AI emphasizes creative properties, such as originality, fluency, and flexibility. The results of design workshops, evaluated by experts, indicate higher originality and novelty compared to the control group. The results imply that various factors, such as individual aesthetic presence and the identity of fashion brands, contribute to fashion ideation. Therefore, in collaborative ideation with AI, rather than relying solely on AI tools, it is essential to perceive and approach them as auxiliary tools. This study contributes to elucidating students’ image thinking and creative attributes in fashion ideation, highlighting the impact of collaborative ideation with AI.
Subject(s)aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Keyword(s)Artificial intelligence, Human computer interaction, Image processing, Creativity, Clothing industry, Visualization, Media, Design methodology, Collaboration, artificial intelligence, humans-AI interaction, image thinking, collaborative creativity, fashion education
Language(s)English
SCImago Journal Rank0.587
H-Index127
eISSN2169-3536
DOI10.1109/access.2024.3382194

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