Application and Effectiveness Evaluation of Augmented Reality Technology in History Museum Exhibitions

In the context of the rapid evolution of science and technology, the integration of reality technologies has become indispensable for the evolution of history museum exhibitions towards digitization, connectivity, and intelligence. This study details the development of a visual-inertial guidance system, leveraging both the Inertial Measurement Unit (IMU) and Simultaneous Localization and Mapping (SLAM) technologies. To construct a mixed reality tour guide system, the Scale Invariant Feature Transform (SIFT) feature extraction algorithm and tracking registration technology were employed to enhance the system's exhibit recognition accuracy and tracking capabilities. Additionally, parallel processing techniques were implemented to accelerate the system's performance, thereby improving operational efficiency while maintaining accuracy and maximizing the potential of augmented reality interactive functions within the history museum setting. The effectiveness of the system was empirically validated through participant evaluations across three dimensions: task completion, design recognition, and knowledge conveyance. Results indicate that all average scores exceeded 9, with 85% of participants acknowledging the enhanced convenience in knowledge acquisition provided by the technology. Furthermore, the coefficients for the guided tour abstract symbol verification were recorded at -0.007, 0.009, and 0.081, respectively. These findings corroborate that the deployment of an augmented reality interactive system and a mixed reality tour system can significantly expand the public service functions and historical-cultural education offerings of history museum exhibitions while also enriching the sensory experiences of attendees. © 2024 Shuguang Yang., published by Sciendo.