Understanding Collaboration between Professional Designers and Decision-making AI: A Case Study in the Workplace

The rapid development of artificial intelligence (AI) has fundamentally transformed creative work practices in the design industry. Existing studies have identified both opportunities and challenges for creative practitioners in their collaboration with generative AI and explored ways to facilitate effective human-AI co-creation. However, there is still a limited understanding of designers' collaboration with AI that supports creative processes distinct from generative AI. To address these gaps, this study focuses on understanding designers' collaboration with decision-making AI, which supports the convergence process in the creative workflow, as opposed to the divergent process supported by generative AI. Specifically, we conducted a case study at an online advertising design company to explore how professional graphic designers at the company perceive the impact of decision-making AI on their creative work practices. The case company incorporated an AI system that predicts the effectiveness of advertising design into the design workflow as a decision-making support tool. Findings from interviews with 12 designers identified how designers trust and rely on AI, its perceived benefits and challenges, and their strategies for navigating the challenges. Based on the findings, we discuss design recommendations for integrating decision-making AI into the creative design workflow.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757686
Citations
1
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
1.94
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article

Understanding Collaboration between Professional Designers and Decision-making AI: A Case Study in the Workplace

Jun Baba, Yuji Hatada, Yuki Okafuji, Nami Ogawa
1 citations
Proceedings of the ACM on Human-Computer Interaction
Virtual Reality Applications and Impacts
1.94
article

Understanding Collaboration between Professional Designers and Decision-making AI: A Case Study in the Workplace

Jun Baba, Yuji Hatada, Yuki Okafuji, Nami Ogawa
article en
1 citations

Abstract

The rapid development of artificial intelligence (AI) has fundamentally transformed creative work practices in the design industry. Existing studies have identified both opportunities and challenges for creative practitioners in their collaboration with generative AI and explored ways to facilitate effective human-AI co-creation. However, there is still a limited understanding of designers' collaboration with AI that supports creative processes distinct from generative AI. To address these gaps, this study focuses on understanding designers' collaboration with decision-making AI, which supports the convergence process in the creative workflow, as opposed to the divergent process supported by generative AI. Specifically, we conducted a case study at an online advertising design company to explore how professional graphic designers at the company perceive the impact of decision-making AI on their creative work practices. The case company incorporated an AI system that predicts the effectiveness of advertising design into the design workflow as a decision-making support tool. Findings from interviews with 12 designers identified how designers trust and rely on AI, its perceived benefits and challenges, and their strategies for navigating the challenges. Based on the findings, we discuss design recommendations for integrating decision-making AI into the creative design workflow.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
CyberAgent (Japan) (JP), The University of Tokyo (JP)
Openalex Percentile: Top 12%
Virtual Reality Applications and Impacts
1.94
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Understanding Collaboration between Professional Designers and Decision-making AI: A Case Study in the Workplace — Jun Baba, Yuji Hatada, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS