research-article

On the necessity of user-friendly CAPTCHA

Authors:

Christos A. Fidas,

Artemios G. Voyiatzis,

Nikolaos M. AvourisAuthors Info & Claims

CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2623 - 2626

https://doi.org/10.1145/1978942.1979325

Published: 07 May 2011 Publication History

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Abstract

A "Completely Automated Public Turing test to tell Computers and Humans Apart" (CAPTCHA) is a mechanism widely used nowadays for protection of web applications, interfaces, and services from malicious users. A questionnaire-based survey combined with a real usage scenario of a native-language CAPTCHA mechanism was conducted in order to investigate several aspects that affect end-user perceptions related to the quality of CAPTCHA. A total of 210 participants of age between 19 and 64 participated during May and July 2010. The survey results validate the common belief that CAPTCHAs are still difficult for humans to solve. They also provide insights that can be applied to improve users' experience on interacting with CAPTCHA systems.

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https://doi.org/10.1080/10447318.2024.2398890
Reddy ACheng Y(2024)User Perceptions of CAPTCHAs: University vs. Internet UsersData and Applications Security and Privacy XXXVIII10.1007/978-3-031-65172-4_18(290-297)Online publication date: 13-Jul-2024
https://doi.org/10.1007/978-3-031-65172-4_18
Searles ANakatsuka YOzturk EPaverd ATsudik GEnkoji ACalandrino JTroncoso C(2023)An empirical study & evaluation of modern CAPTCHAsProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620410(3081-3097)Online publication date: 9-Aug-2023
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On the necessity of user-friendly CAPTCHA

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Information & Contributors

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Published In

CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2011

3530 pages

ISBN:9781450302289

DOI:10.1145/1978942

General Chair:
Desney Tan
Microsoft Research
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Carl Gutwin
University of Saskatchewan
,
Bo Begole
PARC
,
Wendy A. Kellogg
IBM Research

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: 07 May 2011

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CHI '11

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SIGCHI

CHI '11: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2011

BC, Vancouver, Canada

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CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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CHI '25

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CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

View all

Shirali-Shahreza SPenn G(2024)An Ecologically Valid Approach to Evaluating Online GatekeepersInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2398890(1-16)Online publication date: 12-Sep-2024
https://doi.org/10.1080/10447318.2024.2398890
Reddy ACheng Y(2024)User Perceptions of CAPTCHAs: University vs. Internet UsersData and Applications Security and Privacy XXXVIII10.1007/978-3-031-65172-4_18(290-297)Online publication date: 13-Jul-2024
https://doi.org/10.1007/978-3-031-65172-4_18
Searles ANakatsuka YOzturk EPaverd ATsudik GEnkoji ACalandrino JTroncoso C(2023)An empirical study & evaluation of modern CAPTCHAsProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620410(3081-3097)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620410
Eriksen HHoel LJetteberg CLeiknes ASandnes F(2022)Can't You Tell I am a Human? A Comparison of Common Text and Image CAPTCHAs Using a Low-Fidelity MethodologyProceedings of the 10th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion10.1145/3563137.3563179(155-159)Online publication date: 31-Aug-2022
https://dl.acm.org/doi/10.1145/3563137.3563179
Ma XYe ZPatil S(2022)Do Regional Variations Affect the CAPTCHA User Experience? A Comparison of CAPTCHAs in China and the United StatesProceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering10.1145/3551349.3561146(1-9)Online publication date: 10-Oct-2022
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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
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Arai TOkabe YMatsumoto Y(2021)Precursory Analysis of Attack-Log Time Series by Machine Learning for Detecting Bots in CAPTCHA2021 International Conference on Information Networking (ICOIN)10.1109/ICOIN50884.2021.9333881(295-300)Online publication date: 13-Jan-2021
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Arsić SNikolic DJevtic M(2021)An investigation of the usability of image-based CAPTCHAs using PROMETHEE-GAIA methodMultimedia Tools and Applications10.1007/s11042-020-10054-w80:6(9393-9409)Online publication date: 1-Mar-2021
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Alnfiai M(2021)Evaluating the accessibility and usability of a universal CAPTCHA based on gestures for smartphonesUniversal Access in the Information Society10.1007/s10209-020-00730-x20:4(817-831)Online publication date: 1-Nov-2021
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