2025/08/27 by Sankowski, Olga, Inselmann, Pascal, Krause, Dieter
Computer Science · Engineering · #Computer Science #Design Education and Practice #Information and General Works::006: Special computer methods::006.3: Artificial Intelligence #Persona Design and Applications #Spreadsheets and End-User Computing #Technology::600: Technology #artificial intelligence #case study #design methods #human-AI collaboration
paper · doi:10.15480/882.16116
openalex publication_date 2025/08/27 · openalex created_date 2025/11/13 · openalex updated_date 2026/07/01
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.