Augmented Reality Apps for Interactive Museum Exhibition Experiences

Thesis Abstract

The integration of augmented reality (AR) technology into museum exhibitions presents a promising avenue to enhance visitor engagement, education, and overall experience, yet empirical evidence on its effectiveness remains limited. This study addresses the critical gap by examining how AR applications can transform traditional museum interactions into immersive, interactive learning environments. The primary aim is to develop and evaluate an AR-based interactive platform designed to augment exhibits in a major national museum, thereby improving visitor engagement, learning outcomes, and overall satisfaction. To achieve this, the study sets out with specific objectives to assess visitors' perceptions of AR-enhanced exhibits, to measure the impact of AR on learning retention, and to identify design features that optimize user experience. The research adopts a mixed-methods approach grounded in the Technology Acceptance Model (TAM) and the Cognitive Load Theory (CLT) to explore both user perceptions and cognitive effects of the AR application. Quantitative data are collected from a sample of 300 museum visitors through structured questionnaires before and after their interaction with the AR app, measuring variables such as perceived usefulness, ease of use, engagement level, and learning outcomes. Qualitative insights are obtained through semi-structured interviews with a subset of 30 visitors, focusing on their subjective experiences and preferences. The reliability and validity of quantitative instruments are confirmed via Cronbach’s alpha and factor analysis. Quantitative data are analyzed using descriptive statistics, t-tests, and multiple regression analysis to determine the influence of AR features on visitor engagement and learning metrics. Thematic analysis is employed for qualitative interview transcripts, aiming to extract recurrent themes related to user experience and perceptual feedback. Expected findings include statistically significant improvements in visitors' perceived engagement, enjoyment, and learning satisfaction following interaction with the AR app. It is anticipated that regression analysis will reveal a positive correlation between usability factors—such as intuitive navigation and visual realism—and visitor satisfaction, supporting TAM's propositions. Thematic analysis is likely to identify key design considerations, such as seamless integration of narrative content, interactivity complexity, and contextual relevance, which are essential for maximizing the efficacy of AR in museum settings. These results are expected to demonstrate that AR applications not only augment the aesthetic appeal of exhibits but also serve as potent educational tools capable of fostering active learning. This research contributes to knowledge by empirically validating the theoretical underpinnings of AR adoption in cultural heritage contexts, providing a nuanced understanding of user engagement mechanisms, and offering a framework for designing effective AR museum exhibits. The findings inform museum curators, developers, and policymakers about critical success factors for AR integration, emphasizing user-centered design and immersive storytelling as key elements. Additionally, the study extends the application of TAM and CLT within the realm of cultural education, suggesting pathways for future technological innovations in this domain. The study concludes that AR applications significantly enhance interactive museum experiences by fostering higher engagement and educational retention. Recommendations include adopting user-centered design principles, investing in training for museum staff on AR technology, and conducting ongoing assessments to refine user interfaces based on visitor feedback. Future research should explore long-term educational impacts, scalability across diverse cultural institutions, and integration with emerging technologies such as artificial intelligence for personalized visitor experiences. Overall, this study validates AR’s potential as a transformative tool for cultural heritage preservation and education, paving the way for broader adoption of immersive digital exhibitions.