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A gesture-based CAPTCHA design supporting mobile devices

Authors:

Huseyin DoganAuthors Info & Claims

British HCI '15: Proceedings of the 2015 British HCI Conference

Pages 202 - 207

https://doi.org/10.1145/2783446.2783578

Published: 13 July 2015 Publication History

Abstract

In this paper we present the design and evaluation of a mobile user friendly CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) scheme based on our previous work. Unlike the commonly used character recognition based CAPTCHA schemes that require a user to type the distorted characters shown in an image to pass security checks, this scheme allows a user to use gestures to operate specific objects on the screen so as to complete a CAPTCHA quiz. Moreover, it uses partially processed or distorted textual instruction to prevent a bot from easily figuring out the objects to operate for retaining the security of the scheme as a bot cannot utilize context effects as easily as human users can. A comparative study is also conducted to understand the usability performance of this gestured based scheme against Google ReCAPTCHA, a popular character recognition scheme, where better usability has been reported with the former when both were used on smartphones.

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Cited By

Alqarni MYu FRaavi RSukhai M(2024)Audio and Facial Recognition CAPTCHAs for Visually Impaired UsersEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_508(144-147)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_508
Shojae Chaeikar SMirzaei Asl FYazdanpanah SZamani MManaf AKhodadadi T(2023)Secure CAPTCHA by Genetic Algorithm (GA) and Multi-Layer Perceptron (MLP)Electronics10.3390/electronics1219408412:19(4084)Online publication date: 29-Sep-2023
https://doi.org/10.3390/electronics12194084
Alqarni MYu FRaavi RSukhai M(2023)Audio and Facial Reconigition CAPTCHAs for Visually Impaired UsersEncyclopedia of Computer Graphics and Games10.1007/978-3-319-08234-9_508-1(1-5)Online publication date: 1-Apr-2023
https://doi.org/10.1007/978-3-319-08234-9_508-1
Show More Cited By

Index Terms

A gesture-based CAPTCHA design supporting mobile devices
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. Interaction paradigms

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Published In

cover image ACM Other conferences

British HCI '15: Proceedings of the 2015 British HCI Conference

July 2015

334 pages

ISBN:9781450336437

DOI:10.1145/2783446

General Chairs:
Shaun Lawson
University of Lincoln, UK
,
Patrick Dickinson
University of Lincoln

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 July 2015

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British HCI 2015

British HCI 2015: 2015 British Human Computer Interaction Conference

July 13 - 17, 2015

Lincolnshire, Lincoln, United Kingdom

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British HCI '15 Paper Acceptance Rate 28 of 62 submissions, 45%;

Overall Acceptance Rate 28 of 62 submissions, 45%

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Cited By

Alqarni MYu FRaavi RSukhai M(2024)Audio and Facial Recognition CAPTCHAs for Visually Impaired UsersEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_508(144-147)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_508
Shojae Chaeikar SMirzaei Asl FYazdanpanah SZamani MManaf AKhodadadi T(2023)Secure CAPTCHA by Genetic Algorithm (GA) and Multi-Layer Perceptron (MLP)Electronics10.3390/electronics1219408412:19(4084)Online publication date: 29-Sep-2023
https://doi.org/10.3390/electronics12194084
Alqarni MYu FRaavi RSukhai M(2023)Audio and Facial Reconigition CAPTCHAs for Visually Impaired UsersEncyclopedia of Computer Graphics and Games10.1007/978-3-319-08234-9_508-1(1-5)Online publication date: 1-Apr-2023
https://doi.org/10.1007/978-3-319-08234-9_508-1
Pritom AAl Mashuk MAhmed SMonira NIslam M(2022)GESTCHA: a gesture-based CAPTCHA design for smart devices using angular velocityMultimedia Tools and Applications10.1007/s11042-022-13272-682:1(521-549)Online publication date: 7-Jun-2022
https://doi.org/10.1007/s11042-022-13272-6
Acien AMorales AFierrez JVera-Rodriguez RDelgado-Mohatar O(2021)BeCAPTCHA: Behavioral bot detection using touchscreen and mobile sensors benchmarked on HuMIdbEngineering Applications of Artificial Intelligence10.1016/j.engappai.2020.10405898(104058)Online publication date: Feb-2021
https://doi.org/10.1016/j.engappai.2020.104058
Alnfiai M(2020)Evaluating the accessibility and usability of a universal CAPTCHA based on gestures for smartphonesUniversal Access in the Information Society10.1007/s10209-020-00730-xOnline publication date: 1-Sep-2020
https://doi.org/10.1007/s10209-020-00730-x
Xu DWang BDu XZhu XGuan zYu XLiu J(2019)Verification Code Recognition Based on Active and Deep Learning2019 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2019.8685560(453-456)Online publication date: Feb-2019
https://doi.org/10.1109/ICCNC.2019.8685560
Jiang NDogan H(2018)TAPCHAProceedings of the 32nd International BCS Human Computer Interaction Conference10.14236/ewic/HCI2018.188(1-4)Online publication date: 4-Jul-2018
https://dl.acm.org/doi/10.14236/ewic/HCI2018.188
Jiang NDogan HTian FHall LTurner P(2017)Designing mobile friendly CAPTCHAsProceedings of the 31st British Computer Society Human Computer Interaction Conference10.14236/ewic/HCI2017.92(1-7)Online publication date: 3-Jul-2017
https://dl.acm.org/doi/10.14236/ewic/HCI2017.92
Hupperich TKrombholz KHolz T(2016)Sensor Captchas: On the Usability of Instrumenting Hardware Sensors to Prove LivelinessTrust and Trustworthy Computing10.1007/978-3-319-45572-3_3(40-59)Online publication date: 21-Aug-2016
https://doi.org/10.1007/978-3-319-45572-3_3

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