Multi-Sensor Design Integrating 3D Scanning Technology and Artificial Intelligence: Enhancing Accessibility in Public Spaces for the Visually Impaired 

EasyChair Preprint 14348

Abstract

This study employs Artificial Intelligence Generated Content (AIGC) technology to explore the integration of architectural aesthetics and musical elements, aimed at improving the perceptual accessibility of public spaces for the visually impaired. By facilitating cross-modal matching and integration of auditory and visual sensory information, this research seeks to achieve social equity under the guidelines of universal design.  Methods: The study employs surveys, semi-structured interviews, and statistical analysis to evaluate the effectiveness of an auditory navigation aid system developed using 3D scanning and AIGC technologies. Initially, a virtual environment is constructed using 3D scanning technology, which generates auditory cues based on distance information and incorporates binaural music created through AIGC, assisting the visually impaired in perceiving architectural aesthetics and spatial navigation. The system’s navigational ease, spatial understanding, and sensory satisfaction are evaluated through surveys, while semi-structured interviews gather data on user experiences, evaluations, and suggestions for improvements. Finally, the study assesses the impact of the auditory navigation aid system’s implementation, recruiting long-term participants to obtain feedback and further refine the system. 

Keyphrases: Accessibility for the Visually Impaired, Artificial Intelligence-Generated Content (AIGC), Universal Design, multisensory integration, public spaces

@booklet{EasyChair:14348,
  author    = {Yuan Que and Wei Li and Mao Lin},
  title     = {Multi-Sensor Design Integrating 3D Scanning Technology and Artificial Intelligence: Enhancing Accessibility in Public Spaces for the Visually Impaired },
  howpublished = {EasyChair Preprint 14348},
  year      = {EasyChair, 2024}}