Appliance Displays: Accessibility Challenges and Proposed Solutions.

Area of Science:

• Human-Computer Interaction
• Assistive Technology
• Computer Vision

Background:

• Visually impaired individuals face challenges with modern appliances due to inaccessible electronic displays.
• Existing assistive technologies may not fully address the need for real-time, automated display reading.

Purpose of the Study:

• To develop and refine a smartphone application,
• Display Reader
• , to assist visually impaired users in reading electronic displays.
• To enhance the user interface and functionality, including the recognition of seven-segment digit displays.

Main Methods:

• Utilized computer vision algorithms for automatic, real-time image acquisition and optical character recognition of electronic displays.
• Incorporated user feedback from visually impaired participants and accessibility experts to iteratively improve the application.
• Compared the performance and usability of the automated system against remote sighted assistant (RSA) applications.

Main Results:

• The
• Display Reader
• app demonstrates successful real-time reading of electronic displays, including seven-segment digits.
• User interface improvements have been implemented based on extensive feedback.
• Preliminary comparisons highlight the distinct advantages and disadvantages of automated versus RSA-based assistive approaches.

Conclusions:

• The
• Display Reader
• app offers a promising automated solution for enhancing the accessibility of electronic displays for the visually impaired.
• Future research should explore hybrid approaches combining automated features with RSA support to optimize user assistance.