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Prototyping with Prompts: Emerging Approaches and Challenges in Generative AI Design for Collaborative Software Teams

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arxiv 2402.17721 v2 pith:QSMPV4GA submitted 2024-02-27 cs.HC cs.SE

classification cs.HCcs.SE
keywords designgenerativeprototypingcontentteamschallengescollaborativeemerging
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Generative AI models are increasingly being integrated into human task workflows, enabling the production of expressive content across a wide range of contexts. Unlike traditional human-AI design methods, the new approach to designing generative capabilities focuses heavily on prompt engineering strategies. This shift requires a deeper understanding of how collaborative software teams establish and apply design guidelines, iteratively prototype prompts, and evaluate them to achieve specific outcomes. To explore these dynamics, we conducted design studies with 39 industry professionals, including UX designers, AI engineers, and product managers. Our findings highlight emerging practices and role shifts in AI system prototyping among multistakeholder teams. We observe various prompting and prototyping strategies, highlighting the pivotal role of to-be-generated content characteristics in enabling rapid, iterative prototyping with generative AI. By identifying associated challenges, such as the limited model interpretability and overfitting the design to specific example content, we outline considerations for generative AI prototyping.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The GenUI Study: Exploring the Design of Generative UI Tools to Support UX Practitioners and Beyond

    cs.HC 2025-01 conditional novelty 7.0 of 10

    A formative diary study with 37 UX professionals found that generative UI tools help most with first drafts, ideation, and cross-role communication, while editing, context, and integration remain weak.

  2. User-Centered Design with AI in the Loop: A Case Study of Rapid User Interface Prototyping with "Vibe Coding"

    cs.HC 2025-07 conditional novelty 4.0 of 10

    A case study of using generative UI tools within user-centered design shows faster prototyping and richer user feedback, but notes risks of code errors and design convergence.

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