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Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
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An augmented reality sign-reading assistant for users with reduced vision.

Jonathan Huang1, Max Kinateder2, Matt J Dunn3

  • 1Department of Computer Science, Dartmouth College, Hanover, New Hampshire, United States of America.

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|January 17, 2019
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Summary

This study developed an augmented reality (AR) sign-reading assistant for visually impaired individuals navigating indoor spaces. While helpful for direct routes, the AR system led to slower task completion, indicating areas for future usability improvements.

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Area of Science:

  • Assistive technology
  • Human-computer interaction
  • Augmented reality applications

Background:

  • Navigation in unfamiliar indoor environments poses challenges, particularly for individuals with visual impairments.
  • Existing navigational tools have limited applicability for indoor wayfinding.
  • Enhancing visual information from signage is a potential assistive approach.

Purpose of the Study:

  • To develop and assess a prototype augmented reality (AR) application to aid visually impaired users in reading indoor signs.
  • To evaluate the usability and effectiveness of the AR sign-reading assistant in a behavioral experiment.

Main Methods:

  • A prototype AR software application was developed for a head-mounted device.
  • The application identifies, highlights, and enhances real-world text (signs, room numbers) with high-contrast AR lettering and optional text-to-speech output.
  • A behavioral experiment compared participants with simulated visual impairment using the AR system (AR group) versus a control group.

Main Results:

  • Participants using the AR system reported finding it helpful and took more direct routes.
  • However, the AR group exhibited slower walking speeds and longer task completion times compared to the control group.
  • Subjective feedback indicated the AR application was perceived as beneficial for indoor navigation assistance.

Conclusions:

  • The AR sign-reading assistant shows promise for aiding visually impaired individuals in indoor navigation.
  • System performance and usability require further optimization to address increased task time and reduced speed.
  • Future development should focus on improving efficiency and user experience for AR-based assistive navigation tools.