LENs for Analyzing the Quality of Life of People with Intellectual Disability

This paper presents a reduced version of a currently in-use questionnaire, the GENCAT scale, to determine the level of quality of life of people with intellectual disability and uses a framework in the literature of neurosymbolic AI, specifically the family of interpretable DL named logic explained networks, to provide explanations for the predictions. By integrating explainability, our research enhances the richness of the predictions and qualitatively evaluates the reduced questionnaire's effectiveness, also illustrating the importance of explainable AI in improving assessment tools for vulnerable populations such as people with disability. The work is understood as a step to initiate dialogue with experts and practitioners using the GENCAT scale, with the ultimate goal of refining the questionnaire by discussing the explanations generated.