dc.contributor.author | Eriksen, Hannah Marie Maurstad | |
dc.contributor.author | Hoel, Lars | |
dc.contributor.author | Jetteberg, Caroline Sofie | |
dc.contributor.author | Leiknes, Amalie Christine | |
dc.contributor.author | Sandnes, Frode Eika | |
dc.date.accessioned | 2023-12-04T06:52:41Z | |
dc.date.available | 2023-12-04T06:52:41Z | |
dc.date.created | 2023-12-02T17:21:28Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-1-4503-9807-7 | |
dc.identifier.uri | https://hdl.handle.net/11250/3105673 | |
dc.description.abstract | Many websites employ CAPTCHAs to limit web robot traffic. Al-
though 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 partic-
ipants 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 ca-
pable of separating humans from robots that do not rely on user
intervention. | en_US |
dc.language.iso | eng | en_US |
dc.relation.ispartof | DSAI '22: Proceedings of the 10th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion | |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Can’t You Tell I am a Human? A Comparison of Common Text and Image CAPTCHAs Using a Low-Fidelity Methodology | en_US |
dc.type | Chapter | en_US |
dc.type | Conference object | en_US |
dc.description.version | publishedVersion | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.cristin | 2207810 | |
dc.source.pagenumber | 155-159 | en_US |