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Universal Access in the Information Society
Published in: Universal Access in the Information Society 4/2018

02-08-2017 | Long Paper

HuMan: an accessible, polymorphic and personalized CAPTCHA interface with preemption feature tailored for persons with visual impairments

Authors: K. S. Kuppusamy, G. Aghila

Published in: Universal Access in the Information Society | Issue 4/2018

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Abstract

Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is one of the major security components in the provision of fair web access by differentiating human access from malicious, automated access by bots. Though the CAPTCHA strengthens the security aspect of web access, their accessibility to people with visual impairments has inherent unresolved challenges. This paper presents an accessible CAPTCHA model termed HuMan (human or machine?) which aims at providing an audio-based CAPTCHA for people with visual impairments. The HuMan model incorporates personalization into the CAPTCHA access. The polymorphic nature of resolving the HuMan CAPTCHA facilitates kaleidoscopic behavior in CAPTCHA rendering. The presence of ambient noise and requirement of common sense knowledge to answer the questions presented by HuMan CAPTCHA model makes it friendlier toward human users. The HuMan model has a CAPTCHA preemption feature which enables the user to stop the challenge audio as soon as the answer is identified. The results of experiments conducted on the prototype implementation of HuMan model project the mean success rate of 92.46 % and system usability scale score of 82.44 for persons with visual impairments and 82.63 for sighted users.
previous article Audio description on smartphones: making cinema accessible for visually impaired audiences
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Appendix
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Footnotes
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Metadata
Title
HuMan: an accessible, polymorphic and personalized CAPTCHA interface with preemption feature tailored for persons with visual impairments
Authors
K. S. Kuppusamy
G. Aghila
Publication date
02-08-2017
Publisher
Springer Berlin Heidelberg
Published in
Universal Access in the Information Society / Issue 4/2018
Print ISSN: 1615-5289
Electronic ISSN: 1615-5297
DOI
https://doi.org/10.1007/s10209-017-0567-3

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