Understanding inspiration: Insights into how designers discover inspirational stimuli using an AI-enabled platform

Kwon, Elisa; Rao, Vivek; Goucher-Lambert, Kosa

doi:10.1016/j.destud.2023.101202

Cited by 15 publications

(2 citation statements)

References 43 publications

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“…The study's implications suggest that designers seeking innovative ideas can benefit from AI-supported clustering tools but should be cautious of some elements of vagueness inherent to their functioning. Kwon et al (2023) investigated the process of designers searching for inspirational stimuli through an AI-enabled multi-modal search platform. The study specifically explored how different input modalities, as well as the level of design expertise, affect search behaviours and outcomes.…”

Section: Ai-supported Search For Stimulimentioning

confidence: 99%

Stimulating design ideation with artificial intelligence: present and (short-term) future

Berni,

Borgianni,

Rotini

et al. 2024

Proc. Des. Soc.

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The role of Artificial Intelligence (AI) in design is clearly growing. One of the tenets of the paper is that stimulation could be among the design processes mostly benefitting from the introduction of AI. Available contributions have been reviewed to understand the current support AI can give in design inspiration and ideation. We also reflected on what AI should and ahould not do in the future: a framework is proposed. Based on the reviewed contributions, in no case, AI is seen as a substitute of designers. Most contributions originate from the IT domain and have a demonstrative purpose.

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Section: Ai-supported Search For Stimulimentioning

confidence: 99%

Stimulating design ideation with artificial intelligence: present and (short-term) future

Berni,

Borgianni,

Rotini

et al. 2024

Proc. Des. Soc.

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show abstract

“…Applying various AI collaborative tools to fashion ideation (e.g., text, drawing, or style creation) can provide new insights. In addition, a designer's creative process has a significant impact on the individual's a priori knowledge [85,86], and the designer's expertise influences the process of finding inspiration [87]. Therefore, this study, targeting students who used the AI platform for the first time, may have resulted in differences in the research results depending on their level of proficiency.…”

Section: B Summary and Limitationsmentioning

confidence: 99%

Generative Artificial Intelligence in Collaborative Ideation: Educational Insight From Fashion Students

Kim

2024

IEEE Access

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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.

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Users, AI, or professional designers? The impacts of inspiration stimuli on customers' willingness to participate in user design

Qi,

Wang,

Zhang

2024

J of Consumer Behaviour

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This study aims to explore how different sources of inspiration (namely, users, artificial intelligence (AI), and professional designers) as external stimuli influence customers' willingness to participate in user design. Results from four experiments show that inspiration from users, AI, and professional designers all positively influence customers' willingness to participate in user design. Self‐competence is found to mediate such effects. Moreover, we further identify that the effects of inspiration stimuli on customers' willingness to participate in user design is moderated by customer knowledge and product type (hedonic vs. utilitarian). Customers with low level of knowledge are more likely to be inspired by user designs and AI‐generated designs than professional designer counterparts. For utilitarian products, customers are more likely to be inspired by user designs and AI‐generated designs. In contrast, for hedonic products, customers are more likely to draw inspiration from professional designers. Our finding suggests that open innovation communities should offer a variety of designs from users and AI to inspire their users, thus encouraging their participation in user design.

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Understanding inspiration: Insights into how designers discover inspirational stimuli using an AI-enabled platform

Cited by 15 publications

References 43 publications

Stimulating design ideation with artificial intelligence: present and (short-term) future

Stimulating design ideation with artificial intelligence: present and (short-term) future

Generative Artificial Intelligence in Collaborative Ideation: Educational Insight From Fashion Students

Users, AI, or professional designers? The impacts of inspiration stimuli on customers' willingness to participate in user design

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