"We Are Visual Thinkers, Not Verbal Thinkers!": A Thematic Analysis of How Professional Designers Use Generative AI Image Generation Tools

Generative artificial intelligence (GenAI) has become increasingly popular, influencing various creative domains. However, while broader societal perspectives have been analyzed, specific examinations of how practitioners utilize GenAI tools to enhance their current workflows remain limited. To address this gap, we conducted a qualitative study involving 16 professional designers from the automotive industry. We aimed to identify their challenges with existing GenAI image generation tools in daily design practices. Thematic analysis revealed four key themes: (1) the need for visual input-centric multi-modal interfaces that extend beyond textual prompts, (2) the lack of support for the iterative nature of design processes in GenAI tools, (3) difficulties in controlling prompts to achieve desired outputs, and (4) the significance of incorporating human experiences and emotions into design. Based on our findings, we propose and discuss potential design considerations for enhancing future GenAI image generation tool interfaces.

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Publication Details

Journal
Nordic Conference on Human-Computer Interaction
Published
2024-09-30
DOI
https://doi.org/10.1145/3679318.3685370
Citations
17
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
2.03
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article

"We Are Visual Thinkers, Not Verbal Thinkers!": A Thematic Analysis of How Professional Designers Use Generative AI Image Generation Tools

Michael Sedlmair, Joscha Eirich, Hyerim Park, André Luckow
17 citations
Nordic Conference on Human-Computer Interaction
Data Visualization and Analytics
2.03
article

"We Are Visual Thinkers, Not Verbal Thinkers!": A Thematic Analysis of How Professional Designers Use Generative AI Image Generation Tools

Michael Sedlmair, Joscha Eirich, Hyerim Park, André Luckow
article en
17 citations

Abstract

Generative artificial intelligence (GenAI) has become increasingly popular, influencing various creative domains. However, while broader societal perspectives have been analyzed, specific examinations of how practitioners utilize GenAI tools to enhance their current workflows remain limited. To address this gap, we conducted a qualitative study involving 16 professional designers from the automotive industry. We aimed to identify their challenges with existing GenAI image generation tools in daily design practices. Thematic analysis revealed four key themes: (1) the need for visual input-centric multi-modal interfaces that extend beyond textual prompts, (2) the lack of support for the iterative nature of design processes in GenAI tools, (3) difficulties in controlling prompts to achieve desired outputs, and (4) the significance of incorporating human experiences and emotions into design. Based on our findings, we propose and discuss potential design considerations for enhancing future GenAI image generation tool interfaces.

Nordic Conference on Human-Computer Interaction
University of Stuttgart (DE), BMW Group (Germany) (DE), Ludwig-Maximilians-Universität München (DE), University of Bamberg (DE)
Openalex Percentile: Top 11%
Data Visualization and Analytics
2.03
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