CAPTCHA – Security affecting User Experience

Author:

Gafni Ruti1,Nagar Idan2

Affiliation:

1. The Academic College of Tel-Aviv Yaffo

2. The Academic College of Tel Aviv-Yaffo

Abstract

CAPTCHA - Completely Automated Public Turing test to tell Computers and Humans Apart - is a test with the aim to distinguish between malicious automatic software and real users in the era of Cyber security threats. Various types of CAPTCHA tests were developed, in order to address accessibility while implementing security. This research focuses on the users’ attitudes and experiences related to use of the different kinds of tests. A questionnaire accompanied by experiencing five different CAPTCHA tests was performed among 212 users. Response times for each test and rate of success were collected automatically. The findings demonstrate that none of the existing tests are ideal. Although the participants were familiar with the Text-based test, they found it the most frustrating and non-enjoyable. Half of the participants failed in the Arithmetic-based test. While most of the participants found the picture and game based test enjoyable, their response time for those tests was the largest. The age factor was encountered as influencing both the attitude of the user and the performance, while younger users are more tolerant, have a better success rate, and are faster, the elder users found the tests annoying and time-consuming.

Publisher

Informing Science Institute

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Do Regional Variations Affect the CAPTCHA User Experience? A Comparison of CAPTCHAs in China and the United States;Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering;2022-10-10

2. An Empirical Analysis of CAPTCHA Image Design Choices in Cloud Services;IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2022-05-02

3. ZKSENSE: A Friction-less Privacy-Preserving Human Attestation Mechanism for Mobile Devices;Proceedings on Privacy Enhancing Technologies;2021-07-23

4. Convolution Neural Network-Based CAPTCHA Recognition for Indic Languages;Advances in Intelligent Systems and Computing;2021

5. You need to show that you are not a robot;New Media & Society;2019-03-14

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