Creative sketching partner

Karimi, Pegah; Rezwana, Jeba; Siddiqui, Safat; Maher, Mary Lou; Dehbozorgi, Nasrin

doi:10.1145/3377325.3377522

Cited by 56 publications

(14 citation statements)

References 7 publications

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“…We used an open coding method and thematic content analysis to identify key themes and patterns relevant to our study. Two coders were involved to ensure the reliability of our coding process, with an inter-coder reliability score of K= 0.92, which is considered substantial to excellent agreement (McHugh, 2012).…”

Section: Methodsmentioning

confidence: 99%

Exploring Laypeople's Engagement with AI Painting: A Preliminary Investigation into Human‐AI Collaboration

Zhang,

Zhu,

Zhao

et al. 2023

Proceedings of the Association for Information Science and Tech

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As advancements in artificial intelligence (AI) technology have opened new avenues for artistic expression and creation, human‐AI collaboration in creative activities has garnered increasing attention. Through semi‐structured interviews with 15 participants, we investigate the intrinsic and extrinsic factors that motivate laypeople's engagement with AI painting, as well as challenges and concerns faced by users. Our findings reveal that laypeople engage with AI painting for emotional needs like entertainment, aesthetics, surprise, and curiosity, personal utilitarian needs such as self‐expression and customization, and social interaction through sharing and communication. Despite the appeal of novelty and unpredictability they also encountered challenges related to technical and system functionality, personal and environmental factors, as well as concerns about algorithm bias, pornography misuse, employment risks, copyright disputes and ethical implications. Findings provide preliminary evidence of the potential and limitations of AI in democratizing creative activities, and offer implications for designing and developing of AI assistance tools.

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Section: Methodsmentioning

confidence: 99%

Exploring Laypeople's Engagement with AI Painting: A Preliminary Investigation into Human‐AI Collaboration

Zhang,

Zhu,

Zhao

et al. 2023

Proceedings of the Association for Information Science and Tech

View full text Add to dashboard Cite

show abstract

“…Design idea generation has traditionally been seen as an exclusively human endeavor, guided by numerous design guidelines and principles [24]. With the advances in AI, there has been a surge of interest in AI-supported creative design ideation [17], affecting broad-range applications spanning from art design [7], to sketch drawing [26]. This concept harnesses the strengths of human intuition and AI's computational capabilities to navigate complex design spaces, ultimately enhancing human creativity and boosting productivity.…”

Section: Human-ai Collaboration For Creative Designmentioning

confidence: 99%

C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language Model

Hou,

Yang,

Cui

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Interior color design is a creative process that endeavors to allocate colors to furniture and other elements within an interior space.While much research focuses on generating realistic interior designs, these automated approaches often misalign with user intention and disregard design rationales. Informed by a need-finding preliminary study, we develop C2Ideas, an innovative system for designers to creatively ideate color schemes enabled by an intent-aligned and domain-oriented large language model. C2Ideas integrates a three-stage process: Idea Prompting stage distills user intentions into color linguistic prompts; Word-Color Association stage transforms the prompts into semantically and stylistically coherent color schemes; and Interior Coloring stage assigns colors to interior elements complying with design principles. We also develop an interactive interface that enables flexible user refinement and interpretable reasoning. C2Ideas has undergone a series of indoor cases and user studies, demonstrating its effectiveness and high recognition of interactive functionality by designers.CCS Concepts: • Human-centered computing → User interface toolkits.

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“…Among these explorations, a growing stream of literature focuses on using generative AI to access inspiration and mitigate design fixation. Researchers speculate that generative AI will become a potential solution for inspiring designers [37,51,55] due to the ability of AI generators to create abstract and diverse stimuli [32].…”

Section: The Emergent Role Of Ai In Creativity Supportmentioning

confidence: 99%

The Effects of Generative AI on Design Fixation and Divergent Thinking

Wadinambiarachchi,

Kelly,

Pareek

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Generative AI systems have been heralded as tools for augmenting human creativity and inspiring divergent thinking, though with little empirical evidence for these claims. This paper explores the effects of exposure to AI-generated images on measures of design fixation and divergent thinking in a visual ideation task. Through a between-participants experiment (N=60), we found that support from an AI image generator during ideation leads to higher fixation on an initial example. Participants who used AI produced fewer ideas, with less variety and lower originality compared to a baseline. Our qualitative analysis suggests that the effectiveness of co-ideation with AI rests on participants' chosen approach to prompt creation and on the strategies used by participants to generate ideas in response to the AI's suggestions. We discuss opportunities for designing generative AI systems for ideation support and incorporating these AI tools into ideation workflows. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI.

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Creative sketching partner

Cited by 56 publications

References 7 publications

Exploring Laypeople's Engagement with AI Painting: A Preliminary Investigation into Human‐AI Collaboration

Exploring Laypeople's Engagement with AI Painting: A Preliminary Investigation into Human‐AI Collaboration

C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language Model

The Effects of Generative AI on Design Fixation and Divergent Thinking

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