On Users’ Preference on Localized vs. Latin-Based CAPTCHA Challenges - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

On Users’ Preference on Localized vs. Latin-Based CAPTCHA Challenges

Résumé

A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a widely used security mechanism for constructing a high-confidence proof that the entity interacting with a remote service is actually a human being. Stimulated by the facts that: a) nowadays CAPTCHA challenges are solely based on the Latin alphabet, b) currently Internet population consists in its majority of non-native-English speakers and c) numerous web sites consist of exclusively localized content, we conducted an empirical study aiming to examine the effect of various factors on users’ preference in solving localized vs. Latin-based text CAPTCHA challenges. The study embraced a between-subject design using a self-developed localized CAPTCHA mechanism, capable of producing text challenges based on the participants’ native alphabet. A total of 384 non-native English speakers participated in the frame of the reported study which followed an ecological valid experimental design. Analysis of interaction results provides interesting insights which can be taken into consideration for designing more usable CAPTCHA mechanisms.
Fichier principal
Vignette du fichier
978-3-642-40498-6_28_Chapter.pdf (293.75 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01510537 , version 1 (19-04-2017)

Licence

Paternité

Identifiants

Citer

Christos Fidas, Artemios G. Voyiatzis. On Users’ Preference on Localized vs. Latin-Based CAPTCHA Challenges. 14th International Conference on Human-Computer Interaction (INTERACT), Sep 2013, Cape Town, South Africa. pp.358-365, ⟨10.1007/978-3-642-40498-6_28⟩. ⟨hal-01510537⟩
113 Consultations
130 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More