Amir Reza Asadi
ABSTRACT
This article presents an autoethnographic exploration of the use of Large Language Models (LLMs) in the context of design thinking. Through personal narratives and reflections, the author examines his experiences integrating LLMs as tools to support and enhance the design thinking process. The article discusses the benefits, challenges, and transformative potential of ChatGPT and Google Bard in facilitating ideation, prototyping, and user-centered design. Drawing on personal anecdotes and observations, the author offers insights into the impact of LLMs on idea generation, problem-solving, and collaboration within the design thinking framework. This autoethnographic approach provides a unique perspective on the integration of LLMs in design thinking, shedding light on their potentials as tools for innovation and fostering the insights of their implications for design practitioners and UX researchers. These insights were also used to develop design implications for designing interactions for LLMs, including the concept of Dynamic LLM Enabled Documents.
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Index Terms
- LLMs in Design Thinking: Autoethnographic Insights and Design Implications
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