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Quiz Generation on the Electronic Guide Application for Improving Learning Experience in the Museum

We propose a method to generate quizzes on a museum electronic guide application. While a museum is considered to be a place for learning, it would be hard for a visitor to actively appreciate the exhibits in the museum, especially when they have little knowledge about the exhibits. In this study, we develop a method that automatically generates quizzes about the exhibits on an electronic guide application. The proposed method utilizes a BERT model that is trained with the additional corpus constructed from the descriptions of the exhibits and automatically generates a quiz about exhibit. By solving quizzes about the exhibits during the museum visit, we expect that a visitor’s museum experience would be more active, and they would understand the exhibits more deeply. We implement the proposed method on the electronic guide application that is designed for the National Museum of Ethnology, Japan (a.k.a. Minpaku).