Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/29993
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Leonidou, Pantelitsa | - |
dc.contributor.author | Constantinides, Argyris | - |
dc.contributor.author | Belk, Marios | - |
dc.contributor.author | Fidas, Christos | - |
dc.contributor.author | Pitsillides, Andreas | - |
dc.date.accessioned | 2023-07-26T11:30:11Z | - |
dc.date.available | 2023-07-26T11:30:11Z | - |
dc.date.issued | 2021-01-01 | - |
dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_US |
dc.identifier.isbn | 9783030773915 | - |
dc.identifier.issn | 03029743 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/29993 | - |
dc.description.abstract | Image-recognition Human Interaction Proof (HIP) schemes are widely used security defense mechanisms that are utilized by service providers to determine whether a human user is interacting with their system and not malicious software. Inspired by recent research, which underpins the necessity for designing user-centered HIPs, this paper examines, in the frame of an accredited cognitive style theory (Field Dependence-Independence – FD-I), whether human cognitive differences in visual information processing affect users’ visual behavior when interacting with an image-recognition HIP challenge. For doing so, we conducted an eye tracking study (n = 46) in which users solved an image-recognition HIP challenge. Analysis of users’ interactions and eye gaze data revealed differences in users’ visual behavior and interactions between Holistic and Analytic users within image-recognition HIP tasks. Findings underpin the added value of considering users’ cognitive processing differences in the design of adaptive and adaptable HIP security schemes. | en_US |
dc.language.iso | en | en_US |
dc.subject | Eye tracking study | en_US |
dc.subject | Human cognitive differences | en_US |
dc.subject | Human interaction proof schemes | en_US |
dc.subject | Image-recognition CAPTCHA | en_US |
dc.title | Eye Gaze and Interaction Differences of Holistic Versus Analytic Users in Image-Recognition Human Interaction Proof Schemes | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | University of Cyprus | en_US |
dc.collaboration | Cognitive UX Ltd | en_US |
dc.collaboration | University of Patras | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.country | Greece | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | International Conference on HCI for Cybersecurity | en_US |
dc.identifier.doi | 10.1007/978-3-030-77392-2_5 | en_US |
dc.identifier.scopus | 2-s2.0-85112180144 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85112180144 | - |
dc.relation.volume | 12788 LNCS | en_US |
cut.common.academicyear | 2021-2022 | en_US |
dc.identifier.spage | 66 | en_US |
dc.identifier.epage | 75 | en_US |
item.fulltext | No Fulltext | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.openairetype | conferenceObject | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-5946-0074 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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