Abstract
Eye-tracking technology is becoming easier and cheaper to use, resulting in its increasing application to numerous fields of research. Recent years have seen rapid developments in this area. In light of the foregoing, in the context of Cultural Heritage (CH), the definition of a modern approach to understand how individuals perceive art is challenging. Despite the art perception is highly subjective and variable according to knowledge and experience, more recently, several scientific study and enterprises started to quantify how subjects observe art by the application of the eye-tracking technology. The aim of this study was to understand the visual behaviour of subjects looking at paintings, using eye-tracking technology, in order to define a protocol for optimizing an existing Augmented Reality (AR) application that allows the visualization of digital contents through a display. The stimuli used are three famous paintings preserved at the National Gallery of Marche (Urbino, Marche Region, Italy). We applied eye-tracking to have a deeper understanding of people visual activities in front of these paintings and to analyse how digital contents eventually influence their behaviour. The description of the applied procedure and the preliminary results are presented.
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Acknowledgements
We thank our colleagues Ramona Quattrini and Paolo Clini from DICEA Department who provided expertise and materials that greatly assisted the research. We also thank Jacopo Di Girolamo for help in eye-tracking data collection.
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Naspetti, S., Pierdicca, R., Mandolesi, S., Paolanti, M., Frontoni, E., Zanoli, R. (2016). Automatic Analysis of Eye-Tracking Data for Augmented Reality Applications: A Prospective Outlook. In: De Paolis, L., Mongelli, A. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2016. Lecture Notes in Computer Science(), vol 9769. Springer, Cham. https://doi.org/10.1007/978-3-319-40651-0_17
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DOI: https://doi.org/10.1007/978-3-319-40651-0_17
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