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Opportunities for Human-AI Collaboration in Remote Sighted Assistance.

Sooyeon Lee1, Rui Yu1, Jingyi Xie1

  • 1Pennsylvania State University, USA.

IUI. International Conference on Intelligent User Interfaces
|January 24, 2025
PubMed
Summary
This summary is machine-generated.

Remote sighted assistance (RSA) helps people with visual impairments (VI) navigate. New human-computer vision collaboration is needed to overcome technical and navigational challenges for improved RSA services.

Keywords:
3D mapsRSAartificial intelligenceaugmented realitycameracomputer visionconversational assistancenavigationpeople with visual impairments blindremote sighted assistancesmartphone

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Area of Science:

  • Human-Computer Interaction
  • Computer Vision
  • Assistive Technology

Background:

  • Remote sighted assistance (RSA) is a conversational technology aiding individuals with visual impairments (VI) using remote sighted agents for real-time navigation.
  • Existing RSA systems face technical and navigational challenges for both agents and users.

Purpose of the Study:

  • To comprehensively identify and understand the technical and navigational challenges in Remote Sighted Assistance (RSA).
  • To explore the potential of computer vision (CV) and propose new directions for Human-CV collaboration to enhance RSA.

Main Methods:

  • Conducted a literature review on Remote Sighted Assistance (RSA).
  • Interviewed 12 users of RSA to gather insights on their experiences and challenges.
  • Categorized technical challenges and identified real-world navigational scenarios.

Main Results:

  • Identified four categories of technical challenges: user localization, environmental perception, information delivery, and network connectivity.
  • Detailed 15 real-world navigational scenarios (8 outdoor, 7 indoor) highlighting user difficulties.
  • Found that current CV technologies partially address challenges, but significant gaps remain.

Conclusions:

  • Significant advancements in Human-CV collaboration are required to address the full spectrum of RSA challenges.
  • Five emerging problems in Human-CV collaboration are proposed: blind-aware algorithms, robust localization, digital screen recognition, irregular text recognition, and trajectory prediction.
  • Solving these problems will advance CV research and enable the next generation of RSA.