TY - JOUR
T1 - PsycAssist: A web-based artificial intelligence system designed for adaptive neuropsychological assessment and training
AU - de Chiusole, Debora
AU - Spinoso, Matilde
AU - Anselmi, Pasquale
AU - Bacherini, Alice
AU - Balboni, Giulia
AU - Mazzoni, Noemi
AU - Brancaccio, Andrea
AU - Epifania, Ottavia M.
AU - Orsoni, Matteo
AU - Giovagnoli, Sara
AU - Garofalo, Sara
AU - Benassi, Mariagrazia
AU - Robusto, Egidio
AU - Stefanutti, Luca
AU - Pierluigi, Irene
N1 - 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.
PY - 2024/2
Y1 - 2024/2
N2 - 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.
AB - 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.
KW - adaptive assessment
KW - fluid intelligence
KW - knowledge space theory
KW - planning skills
KW - PsycAssist
UR - http://www.scopus.com/inward/record.url?scp=85185840680&partnerID=8YFLogxK
U2 - 10.3390/brainsci14020122
DO - 10.3390/brainsci14020122
M3 - Article
AN - SCOPUS:85185840680
SN - 2076-3425
VL - 14
JO - Brain Sciences
JF - Brain Sciences
IS - 2
M1 - 122
ER -