Happiness Finder: Exploring the Role of AI in Enhancing Well-Being During Four-Leaf Clover Searches

The paradigm framing of the preprint is Human-Computer Interaction (HCI) and Positive Computing, specifically focusing on the intersection of AI, well-being, and the experience of search. It operates within the existing paradigm of using technology to enhance human experiences, but with a nuanced approach towards mindful technology use ("Slow Digital") as opposed to mere efficiency and speed.

The preprint predominantly falls under the "Normal Science" category within Kuhn's framework. It operates within the established paradigms of HCI and Positive Computing, exploring a specific application (AI-assisted four-leaf clover search) and its impact on well-being. The research utilizes standard research methodologies (experiment, survey) and builds upon existing literature within the field. The development of "Happiness Finder" represents a puzzle-solving activity within the existing paradigm, exploring how AI can be integrated into a specific search experience to potentially enhance well-being.

However, there's a subtle hint of "Model Drift" as well. The preprint introduces the concept of "Slow Digital," which subtly challenges the dominant paradigm of technology focused solely on efficiency and speed. By promoting mindful technology use and emphasizing well-being, the authors suggest a shift in focus within the existing paradigm. While not a radical departure, it represents a potential drift towards a more nuanced understanding of the role of technology in human life. The uncertainty lies in the degree to which "Slow Digital" truly challenges the existing paradigm or merely refines it. Further research and broader adoption of the concept would be needed to ascertain its potential as a paradigm shift.