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Digital Authentication for Visually Disabled People: Initial Results of an Online Survey

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Computers Helping People with Special Needs (ICCHP-AAATE 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13342))

Abstract

Digital authentication is becoming essential to use a wide range of online services. A considerable amount of research has proposed accessible alternatives for visual CAPTCHAs for visually disabled people, which are often part of the authentication process, but surprisingly little research has investigated other aspects of the accessibility of digital authentication for this user group. We are conducting an online survey of visually disabled people in the UK and USA. In this paper we present preliminary results of the survey from the UK. These indicate a wide range of accessibility problems, particularly with CAPTCHAs and face recognition systems.

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Author information

Authors and Affiliations

  1. University of York, Deramore Lane, York, YO10 5GH, UK

    Suzanna Schmeelk & Helen Petrie

  2. St Johns University, 8000 Utopia Parkway, Queens, New York, 11439, USA

    Suzanna Schmeelk

Authors
  1. Suzanna Schmeelk
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  2. Helen Petrie
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Corresponding author

Correspondence to Helen Petrie .

Editor information

Editors and Affiliations

  1. Johannes Kepler University, Linz, Austria

    Klaus Miesenberger

  2. National and Kapodistrian University of Athens, Athens, Greece

    Georgios Kouroupetroglou

  3. European University Cyprus, Engomi, Cyprus

    Katerina Mavrou

  4. University of California at Santa Cruz, Santa Cruz, CA, USA

    Roberto Manduchi

  5. Politecnico di Milano, Milan, Italy

    Mario Covarrubias Rodriguez

  6. Masaryk University, Brno, Czech Republic

    Petr Penáz

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Schmeelk, S., Petrie, H. (2022). Digital Authentication for Visually Disabled People: Initial Results of an Online Survey. In: Miesenberger, K., Kouroupetroglou, G., Mavrou, K., Manduchi, R., Covarrubias Rodriguez, M., Penáz, P. (eds) Computers Helping People with Special Needs. ICCHP-AAATE 2022. Lecture Notes in Computer Science, vol 13342. Springer, Cham. https://doi.org/10.1007/978-3-031-08645-8_6

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  • DOI: https://doi.org/10.1007/978-3-031-08645-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08644-1

  • Online ISBN: 978-3-031-08645-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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