EMBODIED INTELLIGENCE IN ASSISTIVE TECHNOLOGIES FOR THE VISUALLY IMPAIRED: ENHANCING INDEPENDENCE AND SOCIAL INCLUSION
DS 136: Proceedings of the Asia Design and Innovation Conference (ADIC) 2024
Year: 2024
Editor: Yong Se Kim; Yutaka Nomaguchi; Chun-Hsien Chen; Xiangyang Xin; Linna Hu; Meng Wang
Author: Zhang, Qianheng; Zhou, Yiling
Series: Other endorsed
Institution: Tongji University, East China Normal University
Page(s): 195-203
Abstract
This paper investigates the application of Embodied Intelligence (EI) in assistive technologies for the Blind and Low Vision (BLV) community. The research identifies the specific needs and challenges faced by visually impaired individuals and introduces an EI framework that combines perception, decision-making, and action execution to improve their quality of life and social participation. The study emphasizes the potential of multimodal perception and intelligent decision-making in delivering personalized support and enhancing user experience. Moreover, it addresses the importance of social acceptance and ethical considerations for the successful deployment of these technologies. The findings underscore the need for ongoing research and development to ensure that EI can be practically and sustainably applied to increase the independence and confidence of the BLV population.
Keywords: Embodied Intelligence, Assistive Technologies, Visually Impaired, Human-Machine Interaction