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The ARTEMISIA project aims at studying visitors’ behaviour, both through a qualitative and a quantitative approach, the latter consisting in analysing new sensor data through AI algorithms. Emerging results may be useful in terms of evaluating and contrasting site overcrowding and improving museum paths. In addition, they can be used to better understand the emotional dynamics that underlie different kinds of visitor behaviour.

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Artificial Intelligence Algorithms for the Characterisation of Visitors Trajectories in a Cultural Context

  • 会议论文

  • 发表日期：

    2025年

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  • Augusto Palombini,
  • Sofia Ceccarelli,
  • Gianmauro Romagna,
  • Marta Sanzari,
  • Marco Schaerf,
  • Angelo Oddi

摘要

The ARTEMISIA project aims at studying visitors’ behaviour, both through a qualitative and a quantitative approach, the latter consisting in analysing new sensor data through AI algorithms. Emerging results may be useful in terms of evaluating and contrasting site overcrowding and improving museum paths. In addition, they can be used to better understand the emotional dynamics that underlie different kinds of visitor behaviour.