Abstract
As the web is expanding and the underlying technologies are evolving, so does the way in which users interact with the web applications. It is becoming increasingly clear that web applications must be adapted to the specific characteristics of each user, resulting in what is known as Adaptive Web Applications. An obvious fact is that there is no a single user model. Actually, there are many factors, some quantifiable, which define how a user interacts with a particular web application, allowing the determination of the user profile and setting the associated default values of each adaptive variables. This paper presents a prototype tool whose core consists of an adaptive method based on similarity between (mined) event-based sequences. The application domain belongs to the area of cognitive neuroscience. In particular, the tool has been designed as a platform for the specification of adaptive cognitive tasks, created to assess and stimulate different aspects of cognition in patients with neurological damage.
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Salmerón, R., Crespo, S., López, F., Teresa Daza, M., Guil, F. (2011). AWARD prime: An Adaptive Web Based-Tool Prototype for Neurocognitive Individualized Assessment and Training. In: Ferrández, J.M., Álvarez Sánchez, J.R., de la Paz, F., Toledo, F.J. (eds) Foundations on Natural and Artificial Computation. IWINAC 2011. Lecture Notes in Computer Science, vol 6686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21344-1_56
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DOI: https://doi.org/10.1007/978-3-642-21344-1_56
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