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Related Experiment Videos

Mobile Recommender Apps with Privacy Management for Accessible and Usable Technologies.

Marion Hersh1, Barbara Leporini2

  • 1University of Glasgow, Scotland.

Studies in Health Technology and Informatics
|September 7, 2017
PubMed
Summary

Disabled individuals regularly use technology and seek accessible recommender apps. They prioritize data access control over data retention and will trade off performance for better privacy.

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Area of Science:

  • Assistive Technology
  • Human-Computer Interaction
  • Digital Inclusion

Background:

  • Growing reliance on digital tools by disabled populations.
  • Limited research on technology adoption and privacy concerns among disabled users.

Purpose of the Study:

  • Investigate technology usage patterns in disabled individuals.
  • Assess interest in recommender applications.
  • Understand privacy concerns and data management preferences.

Main Methods:

  • Preliminary results from an ongoing survey.
  • Inclusion of English and Italian speaking disabled participants.

Main Results:

  • Disabled participants are regular users of computers and mobile devices.
Keywords:
accessibilityapp(s) and app designprivacy managementrecommender system

Related Experiment Videos

  • Significant interest exists in recommender apps for various needs, especially those with accessibility features.
  • Concerns focus on controlling personal data access rather than data retention.
  • Willingness to accept tradeoffs for improved device performance.

    • Conclusions:

    • Disabled users are active technology adopters seeking tailored digital solutions.
    • Privacy control is a key consideration for this demographic.
    • Future app development should prioritize accessibility and user-controlled data management.