Magic Brush: An AI-based Service for Dementia Prevention focused on Intrinsic Motivation

Abstract

This study proposes Magic Brush, an AI-based application for dementia prevention targeting middle-aged individuals who may be at risk for mild cognitive impairment (MCI) or dementia. In order to prevent dementia effectively at home, it is important to strengthen their intrinsic motivation. Promoting motivation is a critical issue in designing computerized cognitive therapy (CCT) for sustainability. Guided by self-determination theory, three main factors of intrinsic motivation were utilized as the main themes for the development: autonomy, competence, and relatedness. Especially, we focused on demotivating factors of low competence which are commonly shared among the elderly and developed a magic brush function equipped with neural style transfer technology to help disconnect the link between low competence and demotivation. The user study (n=35) targeting individuals aged over 50 was conducted with both quantitative and qualitative methods. In general, users reported positive experiences with Magic Brush. The results of Structural Equation Modeling analysis showed that intrinsic motivation is an important contributor to the intention to use together with perceived usefulness. Intrinsic motivation can be promoted by AI therapist likability and perception of one's own performance. Discussion and implications are provided in relation to using AI technology to promote motivation.