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Updated: Oct 26, 2025

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Auto-Suggesting Browsing Actions for Personalized Web Screen Reading.

Vikas Ashok1, Syed Masum Billah1, Yevgen Borodin2

  • 1Stony Brook University.

UMAP ... Proceedings of the ... Conference on User Modeling, Adaptation and Personalization. UMAP (Conference)
|August 2, 2021
PubMed
Summary
This summary is machine-generated.

SuggestOmatic enhances web accessibility for blind users by predicting and auto-suggesting the next browsing action, reducing task times. This personalized approach uses action history and logical segments for scalable, efficient web navigation with screen readers.

Keywords:
Auto SuggestBlindDial-based InteractionHuman-centered computing → Accessibility technologiesInformation systems → PersonalizationPersonalized Web AutomationVision ImpairmentWeb AccessibilityWeb interfaces

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Area of Science:

  • Human-Computer Interaction
  • Assistive Technology
  • Web Accessibility

Background:

  • Screen readers, the primary assistive technology for blind users, present challenges in web browsing due to serial interaction.
  • Current web auto-suggest features are limited to form field completion, not broader browsing actions.

Purpose of the Study:

  • To introduce SuggestOmatic, a novel approach for predicting and proactively suggesting the next web browsing action for visually impaired users.
  • To reduce the effort and time blind users spend on web navigation tasks.

Main Methods:

  • SuggestOmatic utilizes a user's Action History, represented as temporal sequences of operations on semantic web entities (Logical Segments).
  • It employs a personalized and scalable unsupervised learning approach to predict likely next actions.
  • An interface using a physical Dial as an input device was developed for compatibility with any screen reader.

Main Results:

  • A user study with 12 blind participants demonstrated significant reductions in browsing task times.
  • SuggestOmatic reduced task times by up to 29% compared to a macro-based web automation solution.
  • The semantics-based representation of browsing actions enables scalability across different websites.

Conclusions:

  • SuggestOmatic offers a promising solution for improving web navigation efficiency and user experience for blind individuals.
  • The system's ability to generalize across websites and its use of intuitive input methods highlight its practical applicability.
  • Further development could enhance proactive assistance for screen reader users.