인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Objective: The aim of this study is to investigate behavior of people with visual impairment (including blind and low vision) and analyze their characteristics to improve mobile accessibility. Background: Even with ongoing attempts to improve mobile accessibility and minimize the information gap for the visually impaired, such as creating and enforcing accessibility guide for mobile devices, they are still faced with difficulties when using mobile devices. Therefore it is crucial to realize specific characteristics of different types of visual impairment and approach the real needs of these users when designing smartphone UX. Method: Six visually impaired participants (three fully blind, three low vision) are observed in their daily life using Shadow Tracking. Various daily activities and events, such as travelling from area to another, checking location information, using other supporting devices, using smartphone and more, are observed to refresh and improve current understandings on their behavior patterns and spot the real critical needs. Results: It was commonly observed among participants that voice assistant was used tremendously and travelling from one area to another was the activity with most difficulty. However, resulting behaviors widely varied based on their level of impairment and the starting point of it. Conclusion: This study observed daily lives and mobile device usages of visually impaired, and analyzed the different characteristics of behaviors by different types of visual impairment. These findings will lead to future design researches on UX improvements for current accessibility features and also on building general UX principles for voice assistant. Application: This research will be used for improving and designing mobile accessibility UX for people with visual impairment.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2017-530-001949451
