Can't You Tell I am a Human? A Comparison of Common Text and Image CAPTCHAs Using a Low-Fidelity Methodology

Hannah Marie Maurstad Eriksen, Lars Hoel, Caroline Sofie Jetteberg, Amalie Christine Leiknes, F. Sandnes
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Abstract

Many websites employ CAPTCHAs to limit web robot traffic. Although CAPTCHA challenges may improve security they come at the cost of reduced usability and accessibility. This study set out to explore users’ performance with two common types of CAPTCHAs that rely on image and text challenges. The results show that participants resolved image challenges faster than text challenges. Image challenges were also preferred over text challenges. Overall, each challenge took approximately 10 seconds to solve, and preferences scores were moderate. The error rates were high, but no significant difference was observed. We therefore argue for new methods capable of separating humans from robots that do not rely on user intervention.
难道你看不出我是人类吗?使用低保真度方法的常见文本和图像验证码的比较
许多网站使用验证码来限制网络机器人流量。尽管CAPTCHA挑战可以提高安全性,但其代价是降低可用性和可访问性。本研究旨在探索两种常见类型的验证码的用户性能,这两种验证码依赖于图像和文本挑战。结果表明,参与者解决图像挑战的速度比文本挑战快。图片挑战也比文字挑战更受欢迎。总的来说,每个挑战大约需要10秒来解决,偏好得分适中。错误率较高,但差异不显著。因此,我们主张能够将人类与不依赖于用户干预的机器人分开的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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