Securing passwords against dictionary attacks
Proceedings of the 9th ACM conference on Computer and communications security
Telling humans and computers apart automatically
Communications of the ACM - Information cities
Developing usable CAPTCHAs for blind users
Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
Usability of CAPTCHAs or usability issues in CAPTCHA design
Proceedings of the 4th symposium on Usable privacy and security
Proceedings of the 9th workshop on Mobile computing systems and applications
Balancing usability and security in a video CAPTCHA
Proceedings of the 5th Symposium on Usable Privacy and Security
The robustness of a new CAPTCHA
Proceedings of the Third European Workshop on System Security
Proceedings of the 26th Annual Computer Security Applications Conference
Do cognitive styles of users affect preference and performance related to CAPTCHA challenges?
CHI '12 Extended Abstracts on Human Factors in Computing Systems
SeeSay and HearSay CAPTCHA for mobile interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An empirical study on efficiency and effectiveness of localized vs. Latin-based CAPTCHA challenges
Proceedings of the 17th Panhellenic Conference on Informatics
A novel gesture-based CAPTCHA design for smart devices
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
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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.