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dc.contributor.authorEriksen, Hannah Marie Maurstad
dc.contributor.authorHoel, Lars
dc.contributor.authorJetteberg, Caroline Sofie
dc.contributor.authorLeiknes, Amalie Christine
dc.contributor.authorSandnes, Frode Eika
dc.date.accessioned2023-12-04T06:52:41Z
dc.date.available2023-12-04T06:52:41Z
dc.date.created2023-12-02T17:21:28Z
dc.date.issued2023
dc.identifier.isbn978-1-4503-9807-7
dc.identifier.urihttps://hdl.handle.net/11250/3105673
dc.description.abstractMany 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.isoengen_US
dc.relation.ispartofDSAI '22: Proceedings of the 10th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCan’t You Tell I am a Human? A Comparison of Common Text and Image CAPTCHAs Using a Low-Fidelity Methodologyen_US
dc.typeChapteren_US
dc.typeConference objecten_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2207810
dc.source.pagenumber155-159en_US


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