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.
Artificial Intelligence Algorithms for the Characterisation of Visitors Trajectories in a Cultural Context / Palombini, Augusto; Ceccarelli, Sofia; Romagna, Gianmauro; Sanzari, Marta; Schaerf, Marco; Oddi, Angelo. - (2025), pp. 117-135. - SPRINGER INDAM SERIES. [10.1007/978-981-96-4550-3_8].
Artificial Intelligence Algorithms for the Characterisation of Visitors Trajectories in a Cultural Context
Palombini, Augusto
;Romagna, Gianmauro;Sanzari, Marta;Schaerf, Marco
;Oddi, Angelo
2025
Abstract
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.| File | Dimensione | Formato | |
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