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.
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Quaglini, S. et al. (2009). Ontology-Based Personalization and Modulation of Computerized Cognitive Exercises. In: Combi, C., Shahar, Y., Abu-Hanna, A. (eds) Artificial Intelligence in Medicine. AIME 2009. Lecture Notes in Computer Science(), vol 5651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02976-9_34
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DOI: https://doi.org/10.1007/978-3-642-02976-9_34
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