Ontology-Based Personalization and Modulation of Computerized Cognitive Exercises

Authors:
Silvana Quaglini;Silvia Panzarasa;Tiziana Giorgiani;Chiara Zucchella;Michelangelo Bartolo;Elena Sinforiani;Giorgio Sandrini
Affiliations:
Department of Computer Science and Systems, University of Pavia,;CBIM, Pavia,;Department of Computer Science and Systems, University of Pavia,;IRCCS Foundation Hospital "C. Mondino", Pavia, Italy;IRCCS Foundation Hospital "C. Mondino", Pavia, Italy and Dept. of Neurorehabilitation II, NEUROMED Institute IRCCS, Pozzilli, Italy;IRCCS Foundation Hospital "C. Mondino", Pavia, Italy;IRCCS Foundation Hospital "C. Mondino", Pavia, Italy
Venue:
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Year:
2009

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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.