Using eye tracking data to understand visitors' behaviour

Marco Grazioso, Roberto Esposito, Tsvi Kuflik, Emma Maayan-Fanar, Francesco Cutugno

Research output: Contribution to journalConference articlepeer-review


In the last decade, mobile eye trackers have become a commodity. With the decrease in their cost and their increased availability, a growing number of studies are exploring their potential in cultural heritage. In works on art fruition, the idea of using mobile eye trackers to understand how we observe artistic exhibits is becoming commonplace. Following this trend, the goal of this study was to explore the potential and to propose an eye-tracking method to analyse the behaviour of museum visitors while they observe artworks, using the Hecht Museum in Haifa as a case study. Recorded data from two different observation sessions, before and after a course in art history, were used to produce heat maps, which serve as a simple and effective tool for studying changes in visitors' gaze patterns when observing artworks.

Original languageEnglish
JournalCEUR Workshop Proceedings
StatePublished - 2020
Event2020 AVI2CH Workshop on Advanced Visual Interfaces and Interactions in Cultural Heritage, AVI2CH 2020 - Island of Ischia, Italy
Duration: 29 Sep 2020 → …

Bibliographical note

Funding Information:
The authors thank Menachem Merzel from the Information Systems Department at the University of Haifa for the data he collected, the students from the artwork analysis course of the Art History department who volunteered and contributed to the study, and the Hecht Museum for allowing us to perform the study. This work is funded by the Italian PRIN project Cultural Heritage Resources Orienting Multimodal Experience (CHROME) #B52F15000450001.

Publisher Copyright:
© Copyright 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).


  • Art Appreciation
  • Data Analysis
  • Mobile Eye-Tracker
  • User Behaviour

ASJC Scopus subject areas

  • General Computer Science


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