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

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,...

Full description

Saved in:
Bibliographic Details
Published in:Universal access in the information society 2018-11, Vol.17 (4), p.841-864
Main Authors: Kuppusamy, K. S., Aghila, G.
Format: Article
Language:English
Subjects:
Accessibility
Algorithms
Automation
Blindness
Computation
Computer Communication Networks
Computer Science
Computers and Society
Customization
Disability
Handicapped accessibility
Information Storage and Retrieval
Information Systems Applications (incl.Internet)
Interfaces
IT in Business
Logic
Long Paper
People with disabilities
Preemption
Security aspects
Success
Turing machines
Usability
User Interfaces and Human Computer Interaction
Visual impairment
Visual perception
Webs
World Wide Web
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1615-5289
1615-5297
DOI:10.1007/s10209-017-0567-3