RESUMEN
PURPOSE: The Assistive Technology (AT) Open Platform supports people with disabilities, older people, and developers in co-creating new assistive products outside the business realm. To address dissatisfaction with and non-adoption of commercial assistive products, the National Rehabilitation Centre in South Korea created an AT Open Platform as an open-source AT sharing platform to research and develop appropriate assistive technology suitable for users' needs. The emerging concept of AT Open Platform is new for both assistive product users and developers in South Korea. The Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) was utilised to understand the factors influencing the adoption of the AT Open Platform and to gain further insights on its design and future use. MATERIALS AND METHODS: Interviews were conducted with six potential AT Open Platform users to develop a questionnaire for predicting behavioural intention. Subsequently, we surveyed 175 potential users to validate the UTAUT2. RESULTS: The results revealed that behavioural intention was significantly predicted by social influence, performance expectancy, facilitating conditions, and hedonic motivation. CONCLUSIONS: The AT Open Platform should focus on both online and offline platforms to educate and facilitate the co-creation of ATs for assistive product users and makers. This study, which targeted assistive product users and developers, has significant implications for policymakers and future research in using and adopting the AT Open Platform as it reflects the actual voices of the platform's stakeholders.
To address the issues of dissatisfaction and non-adoption of commercial assistive products, assistive technology platforms are established for the research and development of appropriate assistive technologies suitable for meeting user needs; the results are shared as open-source assistive technology.A survey was conducted with a targeted sample of assistive technology product users and developers. The study results are significant as they represent the perspectives of key stakeholders in the assistive technology platform. The study findings are expected to play an important role in the application and diffusion of the assistive technology platform in South Korea.The survey is the first to illuminate the adoption of an assistive technology platform in South Korea and is an important step towards empowering people with disabilities.
RESUMEN
BACKGROUND: Tuberculosis (TB) is a highly infectious disease. Negative perceptions and insufficient knowledge have made its eradication difficult. Recently, mobile health care interventions, such as an anti-TB chatbot developed by the research team, have emerged in support of TB eradication programs. However, before the anti-TB chatbot is deployed, it is important to understand the factors that predict its acceptance by the population. OBJECTIVE: This study aims to explore the acceptance of an anti-TB chatbot that provides information about the disease and its treatment to people vulnerable to TB in South Korea. Thus, we are investigating the factors that predict technology acceptance through qualitative research based on the interviews of patients with TB and homeless facility personnel. We are then verifying the extended Technology Acceptance Model (TAM) and predicting the factors associated with the acceptance of the chatbot. METHODS: In study 1, we conducted interviews with potential chatbot users to extract the factors that predict user acceptance and constructed a conceptual framework based on the TAM. In total, 16 interviews with patients with TB and one focus group interview with 10 experts on TB were conducted. In study 2, we conducted surveys of potential chatbot users to validate the extended TAM. Survey participants were recruited among late-stage patients in TB facilities and members of web-based communities sharing TB information. A total of 123 responses were collected. RESULTS: The results indicate that perceived ease of use and social influence were significantly predictive of perceived usefulness (P=.04 and P<.001, respectively). Perceived usefulness was predictive of the attitude toward the chatbot (P<.001), whereas perceived ease of use (P=.88) was not. Behavioral intention was positively predicted by attitude toward the chatbot and facilitating conditions (P<.001 and P=.03, respectively). The research model explained 55.4% of the variance in the use of anti-TB chatbots. The moderating effect of TB history was found in the relationship between attitude toward the chatbot and behavioral intention (P=.01) and between facilitating conditions and behavioral intention (P=.02). CONCLUSIONS: This study can be used to inform future design of anti-TB chatbots and highlight the importance of services and the environment that empower people to use the technology.