Ai For Visually Impaired: A Literature Review Based on Bibliometric-Content Analysis Based on Scopus Database 2018-2024

Abstract

This bibliography study explores the intersection of Artificial Intelligence (AI) and the field of visual impairment, focusing on research published between 2018 and 2024. The study examines how AI technologies are being applied to address challenges faced by visually impaired individuals, particularly in areas like navigation, object detection, and accessibility. Through a systematic review of journal articles, we analyze the contributions of recent advancements in AI, especially deep learning and machine learning, in improving the quality of life for visually impaired people. The search criteria for the study included key terms such as "Artificial Intelligence" and "Visually Impaired," as well as specific keywords related to visual impairments. The results of this review provide a comprehensive map of current research trends, highlighting the key areas of innovation and the gaps in the existing literature. The study also discusses the limitations of current approaches and proposes directions for future research, emphasizing the need for interdisciplinary collaboration, user-centric designs, and practical implementations that cater to the real-world needs of visually impaired individuals. By bridging the gap between AI technology and the needs of visually impaired users, this study contributes valuable insights to the field of assistive technologies.