Developing usable CAPTCHAs for blind users

  • Authors:
  • Jonathan Holman;Jonathan Lazar;Jinjuan Heidi Feng;John D'Arcy

  • Affiliations:
  • Towson University;Towson University;Towson University;University of Notre Dame

  • Venue:
  • Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
  • Year:
  • 2007

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Abstract

CAPTCHAs are widely used by websites for security and privacy purposes. However, traditional text-based CAPTCHAs are not suitable for individuals with visual impairments. We proposed and developed a new form of CAPTCHA that combines both visual and audio information to allow easy access by users with visual impairments. A preliminary evaluation suggests strong potential for the new form of CAPTCHA for both blind and visual users.