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Computational psychometrics for clinical assessment and cognitive | 6541
Journal of Psychology & Psychotherapy

Journal of Psychology & Psychotherapy
Open Access

ISSN: 2161-0487

Computational psychometrics for clinical assessment and cognitive behavioral therapy


International Conference on Positive Psychology and Cognitive Behavioral Therapy

June 13-14, 2016 Philadelphia, USA

Pietro Cipresso

Istituto Auxologico Italiano, Italy

Posters & Accepted Abstracts: J Psychol Psychother

Abstract :

Computational science seems to be very far from clinical practice, however things are changing and these two worlds are going to converge toward a new discipline beyond the individual aspects arose in several years of research. The advantages for clinics rely on both a partially automatic and self-learning assessment to help clinicians in making medical decision, and a strong support fo Cognitive Behavioral Therapy. However, the computational assessment is made very clear by looking at clinical trials of the last years where machine learning and any sort of classificators gave the chance to achieve such a result. On the other hand, the therapy, still rely on classic Cognitive Behavioral Therapy and the time has come to further innovate and apply the huge capabilities of computational science. Our experience of using and interacting with the newest computer information technologies is profoundly affected by the extent to which we are able to use the computer-mediated world that the technology makes available to us. It is a crucial and increasingly necessary element in both methods and usage of many recent and developing interactive technologies. My speech introduce to main models and techniques in current computational psychometrics, in particular psychophysiological measures, eye-tracking, behavioral data, relational data (also social network analysis), virtual reality, and above all the incredible integration between computational models and real therapies now possible.

Biography :

Email: p.cipresso@auxologico.it

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