AUTHORS: Giuseppe CARTELLA, Vittorio CUCULO, Marcella CORNIA, Marco PAPASIDERO,
Federico RUOZZI and Rita CUCCHIARA

URL: JOURNAL ON COMPUTING AND CULTURAL HERITAGE

WORK PACKAGE: WP6 – YASMINE

Keywords: Cultural Sites, Gaze Analysis, Eye Tracking, Egocentric Vision

Abstract
We introduce Sanctuaria-Gaze, a multimodal dataset featuring egocentric
recordings from 40 visits to four architecturally and culturally
significant sanctuaries in Northern Italy. Collected using wearable
devices with integrated eye trackers, the dataset offers RGB videos
synchronized with streams of gaze coordinates, head motion, and
environmental point cloud, resulting in over four hours of recordings.
Along with the dataset, we provide a framework for automatic detection
and analysis of Areas of Interest (AOIs). This framework fills a
critical gap by offering an open-source, flexible tool for gaze-based
research that adapts to dynamic settings without requiring manual
intervention. Our study analyzes human visual attention to sacred,
architectural, and cultural objects, providing insights into how
visitors engage with these elements and how their background influences
their interactions. By releasing both the dataset and the analysis
framework, Sanctuaria-Gaze aims to advance interdisciplinary research on
gaze behavior, human-computer interaction, and visual attention in
real-world environments.

AUTHORS: Giovanni PUCCETTI, Laura RIGHI, Ilaria SABBATINI and Andrea ESULI

URL: Automatic Extraction of Regesta for Medieval Latin Text Summarization

Work Package: WP7 – REVER

Keywords:

Abstract
The REVERINO project has developed a dataset of over 4,500 medieval Latin text/summary pairs, extracted from two 13th-century papal collections (MGH and Auvray) through an automated pipeline based on annotation, custom training, OCR, and post-processing. The dataset was used to evaluate the summarization capabilities of LLMs (GPT-4, LLaMA), revealing both the limitations and potential of AI for automated regesta generation. This work contributes to the development of tools for historical digitization and research in the field of Digital Humanities.