PsycAssist: A Web-Based Artificial Intelligence System Designed for Adaptive Neuropsychological Assessment and Training

de Chiusole, Debora, Spinoso, Matilde, Anselmi, Pasquale, Bacherini, Alice, Balboni, Giulia, Mazzoni, Noemi, Brancaccio, Andrea, Epifania, Ottavia M., Orsoni, Matteo, Giovagnoli, Sara, Garofalo, Sara, Benassi, Mariagrazia, Robusto, Egidio, Stefanutti, Luca and Pierluigi, Irene (2024) PsycAssist: A Web-Based Artificial Intelligence System Designed for Adaptive Neuropsychological Assessment and Training. Brain Sciences, 14 (2). ISSN 2076-3425

[thumbnail of Brancaccio_etal_PsycAssist_2024_BS_Final] PDF (Brancaccio_etal_PsycAssist_2024_BS_Final) - Published Version
Available under License Creative Commons Attribution.

Download (2MB)

Abstract

Assessing executive functions in individuals with disorders or clinical conditions can be challenging, as they may lack the abilities needed for conventional test formats. The use of more personalized test versions, such as adaptive assessments, might be helpful in evaluating individuals with specific needs. This paper introduces PsycAssist, a web-based artificial intelligence system designed for neuropsychological adaptive assessment and training. PsycAssist is a highly flexible and scalable system based on procedural knowledge space theory and may be used potentially with many types of tests. We present the architecture and adaptive assessment engine of PsycAssist and the two currently available tests: Adap-ToL, an adaptive version of the Tower of London-like test to assess planning skills, and MatriKS, a Raven-like test to evaluate fluid intelligence. Finally, we describe the results of an investigation of the usability of Adap-ToL and MatriKS: the evaluators perceived these tools as appropriate and well-suited for their intended purposes, and the test-takers perceived the assessment as a positive experience. To sum up, PsycAssist represents an innovative and promising tool to tailor evaluation and training to the specific characteristics of the individual, useful for clinical practice.

Item Type: Article
Additional Information: Data Availability Statement: The data presented in this study are available upon request from the corresponding author. The data are not publicly available due to their preliminary nature.
Uncontrolled Keywords: adaptive assessment,fluid intelligence,knowledge space theory,planning skills,psycassist,neuroscience(all) ,/dk/atira/pure/subjectarea/asjc/2800
Faculty \ School: Faculty of Social Sciences > School of Psychology
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 16 Dec 2025 17:30
Last Modified: 17 Dec 2025 07:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/101441
DOI: 10.3390/brainsci14020122

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item