Leveraging generative AI tools for design method support: insights, challenges, and best practices

Publicly available generative AI tools, such as ChatGPT, Midjourney, and DALL-E 3, have the potential to transform product development by accelerating tasks and improving design ideation. Through case studies of scenario management and persona storyboarding, this research explores the strengths and limitations of generative AI (GenAI) tools. The results highlight GenAI's ability to accelerate routine tasks, improve ideation, and support iterative design, but also reveal limitations in contextual understanding and output quality. Key findings show that effective GenAI integration depends on precise prompt design, iterative interaction and critical validation. Despite their potential, GenAI tools cannot replace human expertise for nuanced design tasks. The study provides actionable insights and best practices for leveraging GenAI tools, paving the way for enhanced human-AI collaboration.

Subjects

artificial intelligence

design methods

human-AI collaboration

case study

DDC Class

006.3: Artificial Intelligence

600: Technology

Lizenz

https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication version

publishedVersion

Name

leveraging-generative-ai-tools-for-design-method-support-insights-challenges-and-best-practices.pdf

Type

Main Article

Size

1.52 MB

Format

Adobe PDF

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Leveraging generative AI tools for design method support: insights, challenges, and best practices