The Auto-Personalization Computing Project in Libraries

  • Anna M. SzopaEmail author
  • J. Bern Jordan
  • David J. Folmar
  • Gregg C. Vanderheiden
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 972)


People with disabilities often need support and accommodation to effectively use computers at libraries. While there are many helpful tools and built-in features available, they are difficult for staff and patrons to discover, understand, and apply. Easier methods to discover access and usability features combined with auto-personalization of computers may solve many of these problems, but the potential use and impact of such systems in the library context is not known. Initial qualitative research was conducted in two U.S. public libraries. We used semi-structured interviews to gather information about computer-related problems in libraries and opinions about a prototype feature-discovery and auto-personalization software system called Morphic. This study led to a better understanding about how such a system could help patrons, facilitate library staff work, and impact library performance. The findings led to additional features and further development of the Morphic system.


Accessibility Assistive technology Computer Customization Personalization Simplification 



The work reported in this publication was supported, in part, by grant number 90RE5027 (Universal Interface & IT Access Rehabilitation Engineering Research Center), from the National Institute on Disability, Independent Living, and Rehabilitation Research, U.S. Administration for Community Living, Department of Health and Human Services. Grantees undertaking projects with government sponsorship are encouraged to express freely their findings and conclusions. Points of view or opinions do not, therefore, necessarily represent official policy of the Federal government.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Anna M. Szopa
    • 1
    Email author
  • J. Bern Jordan
    • 2
  • David J. Folmar
    • 2
  • Gregg C. Vanderheiden
    • 2
  1. 1.University of Central FloridaOrlandoUSA
  2. 2.University of MarylandCollege ParkUSA

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