Abstract
This paper presents an agent-based education system featuring context-awareness. It detects the locations of visitors and deploys agents at computers near their current locations. When visitors move between exhibits at a museum, their agents follow them to annotate the exhibits in personalized form and navigate them to the next exhibits along their routes. The system enables visitors to interact with agents by their movements rather than by using portable devices, as visitor movement is one of the most basic and natural behaviors in museums. This paper also describes insights gained from our past experiments on agent-based education services.
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Satoh, I. (2019). Agent-Based Education Environment in Museums. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11805. Springer, Cham. https://doi.org/10.1007/978-3-030-30244-3_3
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DOI: https://doi.org/10.1007/978-3-030-30244-3_3
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