We introduce a novel Italian language resource for the study of reading and comprehension in aging populations, combining behavioural and linguistic data from healthy controls (HC), individuals with subjective cognitive decline (SCI), participants with Mild Cognitive Impairment (MCI), and patients with mild dementia (CDR1). Reading performance was recorded through a finger-tracking based application during both silent and oral reading, enabling fine-grained temporal analyses at the text, token and character level. Comprehension was assessed via multiple question types (wh-, inferential, referential, and lexical). Descriptive and non-linear regression analyses informed a feature selection process, yielding temporal and comprehension-based measures that capture individual reading dynamics. These features were explored through unsupervised clustering and supervised classification to investigate their discriminative and predictive potential across cognitive profiles. The resource supports research on reading and cognitive decline, offers a reproducible protocol for large-scale data collection, and provides a foundation for developing early cognitive screening and monitoring tools for aging populations.

Reading Dynamics and Comprehension in Cognitive Aging: A Multimodal Language Resource

Claudia Marzi
Primo
;
Alice Todesco;Cristina Dolciotti;Marcello Ferro;Vito Pirrelli
2026

Abstract

We introduce a novel Italian language resource for the study of reading and comprehension in aging populations, combining behavioural and linguistic data from healthy controls (HC), individuals with subjective cognitive decline (SCI), participants with Mild Cognitive Impairment (MCI), and patients with mild dementia (CDR1). Reading performance was recorded through a finger-tracking based application during both silent and oral reading, enabling fine-grained temporal analyses at the text, token and character level. Comprehension was assessed via multiple question types (wh-, inferential, referential, and lexical). Descriptive and non-linear regression analyses informed a feature selection process, yielding temporal and comprehension-based measures that capture individual reading dynamics. These features were explored through unsupervised clustering and supervised classification to investigate their discriminative and predictive potential across cognitive profiles. The resource supports research on reading and cognitive decline, offers a reproducible protocol for large-scale data collection, and provides a foundation for developing early cognitive screening and monitoring tools for aging populations.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC en
dc.authority.people Claudia Marzi en
dc.authority.people Noemi Boni en
dc.authority.people Alice Todesco en
dc.authority.people Andrea Nadalini en
dc.authority.people Giorgia Albertin en
dc.authority.people Cristina Dolciotti en
dc.authority.people Paolo Bongioanni en
dc.authority.people Marcello Ferro en
dc.authority.people Fabio Tamburini en
dc.authority.people Gloria Gagliardi en
dc.authority.people Vito Pirrelli en
dc.authority.project 2022YKJ8FP en
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dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.contributor.area Non assegn *
dc.contributor.area Non assegn *
dc.contributor.area Non assegn *
dc.contributor.area Non assegn *
dc.contributor.area Non assegn *
dc.date.accessioned 2026/05/11 14:45:39 -
dc.date.available 2026/05/11 14:45:39 -
dc.date.firstsubmission 2026/05/11 14:44:02 *
dc.date.issued 2026 -
dc.date.submission 2026/05/11 14:44:02 *
dc.description.abstracteng We introduce a novel Italian language resource for the study of reading and comprehension in aging populations, combining behavioural and linguistic data from healthy controls (HC), individuals with subjective cognitive decline (SCI), participants with Mild Cognitive Impairment (MCI), and patients with mild dementia (CDR1). Reading performance was recorded through a finger-tracking based application during both silent and oral reading, enabling fine-grained temporal analyses at the text, token and character level. Comprehension was assessed via multiple question types (wh-, inferential, referential, and lexical). Descriptive and non-linear regression analyses informed a feature selection process, yielding temporal and comprehension-based measures that capture individual reading dynamics. These features were explored through unsupervised clustering and supervised classification to investigate their discriminative and predictive potential across cognitive profiles. The resource supports research on reading and cognitive decline, offers a reproducible protocol for large-scale data collection, and provides a foundation for developing early cognitive screening and monitoring tools for aging populations. -
dc.description.allpeople Marzi, Claudia; Boni, Noemi; Todesco, Alice; Nadalini, Andrea; Albertin, Giorgia; Dolciotti, Cristina; Bongioanni, Paolo; Ferro, Marcello; Tamburini, Fabio; Gagliardi, Gloria; Pirrelli, Vito -
dc.description.allpeopleoriginal Claudia Marzi, Noemi Boni, Alice Todesco, Andrea Nadalini, Giorgia Albertin, Cristina Dolciotti, Paolo Bongioanni, Marcello Ferro, Fabio Tamburini, Gloria Gagliardi, Vito Pirrelli en
dc.description.fulltext open en
dc.description.international no en
dc.description.numberofauthors 11 -
dc.identifier.doi 10.63317/3wjy3a8cwnw8 en
dc.identifier.isbn 978-2-493814-49-4 en
dc.identifier.source manual *
dc.identifier.uri https://hdl.handle.net/20.500.14243/580325 -
dc.identifier.url http://www.lrec-conf.org/proceedings/lrec2026/ en
dc.language.iso eng en
dc.publisher.country FRA en
dc.publisher.name ELRA en
dc.publisher.place Paris en
dc.relation.allauthors Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral en
dc.relation.conferencedate 13-15 May 2026 en
dc.relation.conferencename Language Resources and Evaluation Conference (LREC 2026) en
dc.relation.conferenceplace Palma di Maiorca, Spagna en
dc.relation.firstpage 2608 en
dc.relation.ispartofbook Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026) en
dc.relation.lastpage 2618 en
dc.relation.medium ELETTRONICO en
dc.relation.numberofpages 11 en
dc.relation.projectAcronym ReMind en
dc.relation.projectAwardNumber 2022YKJ8FP en
dc.relation.projectAwardTitle ReMind: an ecological, cost-effective AI platform for early detection of prodromal stages of cognitive impairment en
dc.relation.projectFunderName MUR en
dc.relation.projectFundingStream PRIN en
dc.relation.volume 15 en
dc.subject.keywordseng reading behaviour, cognitive aging, finger-tracking, language resources for assistive technologies, cluster analysis, automatic classification -
dc.subject.singlekeyword reading behaviour *
dc.subject.singlekeyword cognitive aging *
dc.subject.singlekeyword finger-tracking *
dc.subject.singlekeyword language resources for assistive technologies *
dc.subject.singlekeyword cluster analysis *
dc.subject.singlekeyword automatic classification *
dc.title Reading Dynamics and Comprehension in Cognitive Aging: A Multimodal Language Resource en
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