Hypersocial Museum: addressing the social interaction challenge with museum scenarios and attention-based approaches

Abstract

This work intended to show that the use of museum scenarios and computational attention models are a good way to achieve social interaction studies. The use of attention-based algorithm allows the possibility to dynamically analyze visitors ’ behavior in museums in long-term context where some typical behavior models are learnt. Moreover, by providing feedback to visitors, it is possible to interact with them and also to foster interaction between visitors: the system here becomes a sort of mediator in human to human interaction.

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