Ontology-based personalization and modulation of computerized cognitive exercises

Silvana Quaglini, Silvia Panzarasa, Tiziana Giorgiani, Chiara Zucchella, Michelangelo Bartolo, Elena Sinforiani, Giorgio Sandrini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cognitive rehabilitation may benefit from computer-based approaches that, with respect to paper-based ones, allow managing big amounts of stimuli (images, sounds, written texts) and combining them to create ever-new exercises. Moreover, they allow storing and analysing patients' performance, that may vary in time, thus increasing/decreasing difficulty of the exercises accordingly. An ontological organisation of the stimuli may help to automatically generate patient-tailored exercises, accounting for patients' performance, skills and preferences.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages240-244
Number of pages5
Volume5651 LNAI
DOIs
Publication statusPublished - 2009
Event12th Conference on Artificial Intelligence in Medicine, AIME 2009 - Verona, Italy
Duration: Jul 18 2009Jul 22 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5651 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th Conference on Artificial Intelligence in Medicine, AIME 2009
CountryItaly
CityVerona
Period7/18/097/22/09

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Keywords

  • Cognitive rehabilitation
  • Exercise adaptation
  • Ontology

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Quaglini, S., Panzarasa, S., Giorgiani, T., Zucchella, C., Bartolo, M., Sinforiani, E., & Sandrini, G. (2009). Ontology-based personalization and modulation of computerized cognitive exercises. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5651 LNAI, pp. 240-244). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5651 LNAI). https://doi.org/10.1007/978-3-642-02976-9_34