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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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Repurposing Visual Input Modalities for Blind Users: A Case Study of Word Processors.

Hae-Na Lee1, Vikas Ashok2, I V Ramakrishnan1

  • 1Department of Computer Science, Stony Brook University, Stony Brook, NY, USA.

Conference Proceedings. IEEE International Conference on Systems, Man, and Cybernetics
|February 11, 2021
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This study repurposed visual interaction tools for blind computer users. The NVMouse system significantly reduced task completion times and user effort for word processing activities.

Keywords:
Accessibilityassistive technologyscreen readervisual impairmentword processing

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Area of Science:

  • Human-Computer Interaction
  • Assistive Technology
  • Accessibility Research

Background:

  • Sighted users rely on visual point-and-click devices (mouse, touchpad) for efficient computer interaction.
  • Blind users are limited to keyboard-based screen readers, increasing task time and effort.
  • A significant accessibility gap exists in leveraging intuitive input modalities for visually impaired individuals.

Purpose of the Study:

  • To explore repurposing visual interaction modalities for non-visual computer interaction.
  • To develop and evaluate a system enabling blind users to benefit from spatial input.
  • To enhance efficiency and reduce effort for blind users performing common computer tasks.

Main Methods:

  • Designed and developed NVMouse, mapping word processor controls to a virtual hierarchical 'Feature Menu'.
  • Implemented a data-driven prediction model to anticipate user command needs based on screen-reader context.
  • Conducted a user study comparing NVMouse with traditional keyboard-based screen readers.

Main Results:

  • NVMouse significantly reduced task-completion times for blind participants.
  • The system substantially decreased user effort, measured by the number of actions required.
  • Participants experienced more efficient word processing interactions compared to keyboard-only methods.

Conclusions:

  • Repurposing visual interaction modalities offers a viable path to improve accessibility for blind computer users.
  • NVMouse demonstrates the potential of non-visual spatial interaction and predictive modeling for assistive technology.
  • The findings suggest a more equitable and efficient computing experience for visually impaired individuals is achievable.