Abstract
This paper proposes a method for enhancing museum visits by turning them into a personalized treasure hunt game. This approach uses gamification to augment visitor experiences, explicitly addressing the issue of retaining information during casual museum visits. This is achieved by creating quizzes customized to each visitor’s interests and providing unique perspectives for appreciating exhibits. These quizzes, developed through analyzing museum guide logs and individual visitor preferences, encourage visitors to explore exhibits, thereby intensifying their engagement proactively. The game entails visitors identifying specific exhibits, guided by hints like images and maps, and inputting the exhibit IDs to win in-game rewards. Field studies employing actual data from the National Museum of Ethnology in Japan evaluated this approach’s efficacy. Experimental results suggest that visitors are more likely to remember exhibit details connected to quiz answers, even two weeks after their visit. Participants also enjoyed the impromptu exploration encouraged by the treasure hunt game.
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Acknowledgements
This work was supported by JSPS KAKENHI Grants Number 21H03775, 21H03774, and 22H03905. The research was also supported by ROIS NII Open Collaborative Research 2023 (Grant Number 22S1001).
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Yu, J. et al. (2023). Personalized Treasure Hunt Game for Proactive Museum Appreciation by Analyzing Guide App Operation Log. In: Goh, D.H., Chen, SJ., Tuarob, S. (eds) Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. ICADL 2023. Lecture Notes in Computer Science, vol 14458. Springer, Singapore. https://doi.org/10.1007/978-981-99-8088-8_3
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