The Experience of Using Artificial Intelligence for the Disabled: Evaluation of Community Service Experience Factors and Proposal of Strategies for Self-reliance of the Developmentally Disabled

Abstract

Background The purpose of this study is to identify and evaluate the experience components of artificial intelligence technology-based community services that develop strategies to support the independent living of adults with developmental disabilities. This study is based on understanding their characteristics and lives and proposes service scenarios based on this. Methods This study consisted a literature review, user research, and experience component evaluation. The theory of self-reliance and characteristics of the developmentally disabled was considered to derive constituent factors, and the attributes necessary for artificial intelligence technology and community services that can help with this were derived. In field research and user surveys through digital Ethnography, their understanding of life and contextual experiences were reflected and synthesized with the results derived from the previous theoretical review. After deriving the experience components necessary for community services based on artificial intelligence technology that support the self-reliance of adult developmentally disabled people, a survey using the Kano model and a Timko customer satisfaction coefficient were used to evaluate the service experience components. Through this, the direction of service development was finally derived by analyzing the factors that need to be applied first, and this was verified through in-depth interviews with experts. Results The study resulted in four key service design strategies. First, personalized user interface and user experience(UI/UX) design for each type of developmental disability is essential. Second, appropriate arrangement of necessary functions to assist interactions is crucial. Third, a behavioral induction system should be implemented to enable individuals with developmental disabilities to independently select and decide on services. Fourth, a robust operating system must be established to ensure safety and trust. Conclusions According to the derived strategy, a scenario of artificial intelligence technology-based community service for the independent living of adult developmentally disabled people according to the type of disability and the stage of independent living experience was proposed.