Disability and rehabilitation. Assistive technology · 2026
Adoption intentions and barriers to emerging technologies among people with disabilities: a systematic review of attitudes, accessibility, and inclusion.
СтатьяСистематический обзорНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Jin Kai, Zhong Xia, Jiang Qiang, Xu Wenwen, Zhou Shulin, Shao Yuping
Аннотация
PURPOSE: Emerging technologies, ranging from robotics and artificial intelligence to assistive innovations, hold transformative potential for improving the quality of life among people with disabilities. Yet, despite decades of research, systematic evidence on their adoption intentions, attitudes, and accessibility barriers remains fragmented.
MATERIALS AND METHODS: This study conducts a systematic literature review of 46 studies published over the past two decades, synthesising key determinants influencing technology adoption.
RESULTS: The findings reveal that perceived usefulness is the strongest predictor of adoption intentions, while significant barriers persist. These include usability challenges arising from limited accessibility caused by physical and cognitive constraints, high financial costs, inadequate training and support, and persistent digital inequalities. Psychosocial concerns, such as fear of safety risks, social stigma, and reduced human interaction, further shape negative attitudes towards adoption.
CONCLUSION: The study highlights the need for inclusive and user-centered design approaches that prioritise accessibility, affordability, and trust. By integrating evidence across disciplines, this review provides a comprehensive framework to guide future research, policy development, and innovation strategies aimed at fostering equitable technology adoption among people with disabilities.
MATERIALS AND METHODS: This study conducts a systematic literature review of 46 studies published over the past two decades, synthesising key determinants influencing technology adoption.
RESULTS: The findings reveal that perceived usefulness is the strongest predictor of adoption intentions, while significant barriers persist. These include usability challenges arising from limited accessibility caused by physical and cognitive constraints, high financial costs, inadequate training and support, and persistent digital inequalities. Psychosocial concerns, such as fear of safety risks, social stigma, and reduced human interaction, further shape negative attitudes towards adoption.
CONCLUSION: The study highlights the need for inclusive and user-centered design approaches that prioritise accessibility, affordability, and trust. By integrating evidence across disciplines, this review provides a comprehensive framework to guide future research, policy development, and innovation strategies aimed at fostering equitable technology adoption among people with disabilities.