This study presents an innovative AR interaction model for small exhibits, integrating physical and virtual display techniques. Combining hand detection sensors and 3D modeling, it allows direct manipulation of virtual objects, enhancing interactivity and immersion. Specifically, the model utilizes Leap Motion for gesture interaction, enabling intuitive and natural user engagement with virtual exhibits. A mixed-method approach assessed its impact on 200 randomly assigned participants. Results show significant improvements in interactivity, immersion, learning effectiveness, and overall satisfaction compared to traditional methods. Quantitative analysis revealed statistically significant differences (p ? 0.001) with large effect sizes (Cohen?s d ? 0.8). Qualitative findings corroborated these results, highlighting increased engagement and deeper understanding. The practical implications of this research extend to museums and cultural heritage display settings, where the AR interactive model offers a scalable and engaging solution for enhancing visitor experiences. The findings further indicate that this AR interactive display model not only enhanced exhibition effectiveness but also positively impacted visitors? digital wellbeing, notably by fostering social interaction and mitigating digital fatigue.
Lee et al. (Wed,) studied this question.