SOFTWARE-BASED APPROACH FOR SUPPORTING APPLIED BEHAVIOR ANALYSIS THERAPY
Abstract
Clinics that use Applied Behavior Analysis therapy for individuals with Autism Spectrum Disorder face organizational, communication, and data integrity challenges, as the manual management of individualized therapeutic programs becomes inefficient, error-prone, and difficult to scale as the number of patients and therapists increases. To address this problem, this paper presents a software-based approach implemented as a web application, MAPsi, that provides a customizable digital workflow for the systematic registration and management of patients, collaborators, programs, and evaluations. The evaluation of the proposed solution is theoretically grounded in the Technology Acceptance Model (TAM) to measure perceived usefulness and ease of use, and the System Usability Scale (SUS) to assess overall system usability. The evaluation showed high user acceptance, with the software receiving excellent TAM scores for perceived usefulness (4.86 out of 5) and perceived ease of use (4.53 out of 5), and a SUS score of 89.75 out of 100, corresponding to an "A+" usability rating. This study employs an applied research design combining software development with user-based evaluation.
Author Biographies
Ph.D. in Computer Science from USP and Associate Professor in the Computer Science program at UFERSA. His research interests include software engineering, educational computing, and machine learning, with an emphasis on software reuse, requirements engineering, agile methods, and software architecture.
Bachelor’s Degree in Computer Science from UFERSA, where he is also pursuing a Master’s Degree in Computer Science.
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