Abstract
Evaluating software technologies with users is a way to ensure the software purpose is accomplished before the system becomes available to the final users. There is a need for researches proposing and evaluating software technologies for autistic users. However, there is a difficulty to involve autistic users in interaction tasks, due to their tendency to isolation and inability to communicate their needs. We aim to explore how are software technologies being evaluated with autistic users. In this research, we carried out a systematic mapping of the literature to identify and analyze scientific publications that report software technologies evaluation with Autism Spectrum Disorder (ASD) users. The data extraction enables us to identify evaluation methods, data collection procedures, professionals involved, test environments, and ASD aspects evaluated. We noted that user tests were conducted in clinics or classrooms with health professionals, teachers, or caregivers intermediating the autistic user interaction with software technologies to promote better engagement. Observation, questionnaires, and interviews are the most common data collection methods adopted. However, we did not identify specific instruments for evaluating ASD aspects related to software technologies. With our results, we aim to encourage the proposal of evaluation protocols for diverse kinds of software technologies such as serious games or educational software. We also expect to support researchers or professionals in selecting and adopting suitable evaluation procedures to assess software technologies with autistic users. In this way, we can obtain more evidence regarding the impact of technologies in ASD behavioral and social skills development.
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The authors acknowledge the financial support granted for this research by Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico (FUNCAP) process BP4-00172-00228.01.00/20.
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Marques, A.B., da Silva Monte, L. How are software technologies being evaluated with autistic users? A systematic mapping. Univ Access Inf Soc 21, 587–597 (2022). https://doi.org/10.1007/s10209-021-00794-3
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DOI: https://doi.org/10.1007/s10209-021-00794-3