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The Last Meter: Blind Visual Guidance to a Target
Roberto Manduchi1, James M Coughlan2
1Computer Engineering Dept., University of California, Santa Cruz, manduchi@soe.ucsc.edu.
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI Conference
|November 27, 2014
Summary
Object recognition apps aid blind users, but camera aiming is hard. Wider fields of view don't always improve performance and can hinder usability for visually impaired individuals.
Area of Science:
- Human-Computer Interaction
- Computer Vision
- Assistive Technology
Background:
- Smartphone applications leverage object recognition for visually impaired users.
- A key challenge is precise camera aiming for effective object recognition.
- This study examines factors affecting usability for blind and low-vision users.
Purpose of the Study:
- To investigate the impact of frame rate and field of view on object recognition app performance for blind users.
- To determine optimal camera constraints for assistive technology.
- To inform the design of better visual aids for the visually impaired.
Main Methods:
- 18 blind participants used a smartphone object recognition app.
- Participants located visual targets beyond arm's reach.
- The study analyzed performance under varying frame rates and fields of view.
Main Results:
- Faster frame rates generally improved target acquisition.
- Wider fields of view did not consistently enhance performance and sometimes degraded it.
- User performance was sensitive to camera field of view settings.
Conclusions:
- Optimizing frame rate and field of view is critical for effective object recognition apps.
- Current design assumptions about field of view may not benefit visually impaired users.
- Further research is needed to refine assistive technology for the blind and low-vision community.
Keywords:
Assistive technologyBlindnessCamera-based access to informationH.5.2. Information interfaces and presentation: User Interfaces-- Input devices and strategiesInteraction stylesWayfindingMore Related Videos
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