The use of generative AI tools in Design Thinking academic makeathon

Authors

  • Yigal David Design Factory Shenkar, Israel
  • Assaf Krebs Design Factory Shenkar, Israel
  • Alon Rosenbaum Design Factory Shenkar, Israel

DOI:

https://doi.org/10.23726/cij.2023.1470

Keywords:

Design Thinking, Shenkar Jamweek, Makeathon, Double Diamond Design Thinking, Human-AI collaboration, AI in education, Generative artificial intelligence, ChatGPT, Midjourney, Dall-E 2, AI

Abstract

This paper examines the integration and influence of Generative Artificial Intelligence (GAI) tools in a Double Diamond Design Thinking (DDDT) academic makeathon. It analyzes students' interaction with these tools in problem-solving scenarios, offering insights into their perceptions and manner of use. The study reveals that text-based GAI, such as ChatGPT and visual tools such as Midjourney and Dall-E 2, are perceived to be supportive rather than solution-dictating. However, it appears that there is a significant difference between engineering and design students in their approach and their trust in these tools. Moreover, students often use tools like ChatGPT as search engines without fully exploring their capabilities. This paper aims to explore the potential of GAI in its deeper capacity within the DDDT methodology, and how to maximize its value.

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Published

2023-12-29

How to Cite

David, Y., Krebs, A., & Rosenbaum, A. (2023). The use of generative AI tools in Design Thinking academic makeathon . CERN IdeaSquare Journal of Experimental Innovation, 7(3), 43–49. https://doi.org/10.23726/cij.2023.1470