DC FieldValueLanguage
dc.contributor.authorAmelio, Alessiaen
dc.contributor.authorJanković, Radmilaen
dc.contributor.authorTanikić, Dejanen
dc.contributor.authorDraganov-Rumenov, Ivoen
dc.date.accessioned2020-04-27T10:55:19Z-
dc.date.available2020-04-27T10:55:19Z-
dc.date.issued2019-01-01en
dc.identifier.isbn978-3-030-11225-7en
dc.identifier.issn1865-0929en
dc.description.abstractThis paper introduces a new study of the CAPTCHA usability which analyses the predictability of the solution time, also called response time, to solve the Dice CAPTCHA. This is accomplished by proposing a new artificial neural network model for predicting the response time from known personal and demographic features of the users who solve the CAPTCHA: (i) age, (ii) device on which the CAPTCHA is solved, and (iii) Web use in years. The experiment involves a population of 197 Internet users, who is required to solve two types of Dice CAPTCHA on laptop or tablet computer. The data collected from the experiment is subject to the artificial neural network model which is trained and tested to predict the response time. The proposed analysis provides new results of usability of the Dice CAPTCHA and important suggestions for designing new CAPTCHAs which could be closer to an “ideal” CAPTCHA.en
dc.publisherSpringer Link-
dc.relationDevelopment of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education-
dc.relation.ispartofCommunications in Computer and Information Scienceen
dc.subjectCAPTCHA | Prediction | Usabilityen
dc.titlePredicting the Usability of the Dice CAPTCHA via Artificial Neural Networken
dc.typeConference Paperen
dc.relation.conference15th Italian Research Conference on Digital Libraries, IRCDL 2019; Pisa; Italy; 31 January 2019 through 1 February 2019-
dc.identifier.doi10.1007/978-3-030-11226-4_4en
dc.identifier.scopus2-s2.0-85060756603en
dc.relation.firstpage44en
dc.relation.lastpage58en
dc.relation.volume988en
item.fulltextNo Fulltext-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
crisitem.author.orcid0000-0003-3424-134X-
crisitem.project.projectURLhttp://www.mi.sanu.ac.rs/novi_sajt/research/projects/044006e.php-
crisitem.project.fundingProgramNATIONAL HEART, LUNG, AND BLOOD INSTITUTE-
crisitem.project.openAireinfo:eu-repo/grantAgreement/NIH/NATIONAL HEART, LUNG, AND BLOOD INSTITUTE/5R01HL044006-04-
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