μcaptcha: Human Interaction Proofs Tailored to Touch-Capable Devices via Math Handwriting.
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| Title: | μcaptcha: Human Interaction Proofs Tailored to Touch-Capable Devices via Math Handwriting. |
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| Authors: | Leiva, Luis A. (AUTHOR), Álvaro, Francisco (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. 2015, Vol. 31 Issue 7, p457-471. 15p. 5 Color Photographs, 4 Black and White Photographs, 1 Diagram, 5 Charts, 3 Graphs. |
| Subjects: | CAPTCHA (Challenge-response test), Human-computer interaction, Writing, Mathematics, Keyboards (Electronics), Touch screens, Online information services, Internet security |
| Abstract: | Online services are often protected with captchas that typically must be solved by typing on a keyboard. Now that smartphones and tablets are increasingly being used to browse the web, new captchas best suited to touch-capable devices should be devised, because entering text on soft keyboards is usually uncomfortable and error-prone. This article contributes to solving this issue with μcaptcha, a novel captcha scheme to tell humans and computers apart by means of math handwriting input. Instead of entering text with a keyboard, the user retypes a mathematical expression on a touch screen using, for example, the finger, a stylus, or an e-pen. Further, as a by-product of solving μcaptcha challenges, a valuable labeled data set of online handwritten math expressions is collected. Studies reveal that μcaptcha is accurate, fast, and easy to perform and that users find it to be both useful and enjoyable. Ultimately, this work informs an understanding of designing better web security measures. [ABSTRACT FROM PUBLISHER] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Online services are often protected with captchas that typically must be solved by typing on a keyboard. Now that smartphones and tablets are increasingly being used to browse the web, new captchas best suited to touch-capable devices should be devised, because entering text on soft keyboards is usually uncomfortable and error-prone. This article contributes to solving this issue with μcaptcha, a novel captcha scheme to tell humans and computers apart by means of math handwriting input. Instead of entering text with a keyboard, the user retypes a mathematical expression on a touch screen using, for example, the finger, a stylus, or an e-pen. Further, as a by-product of solving μcaptcha challenges, a valuable labeled data set of online handwritten math expressions is collected. Studies reveal that μcaptcha is accurate, fast, and easy to perform and that users find it to be both useful and enjoyable. Ultimately, this work informs an understanding of designing better web security measures. [ABSTRACT FROM PUBLISHER] |
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| ISSN: | 10447318 |
| DOI: | 10.1080/10447318.2015.1038124 |
