TY - GEN
T1 - Eye Gaze and Interaction Differences of Holistic Versus Analytic Users in Image-Recognition Human Interaction Proof Schemes
AU - Leonidou, Pantelitsa
AU - Constantinides, Argyris
AU - Belk, Marios
AU - Fidas, Christos
AU - Pitsillides, Andreas
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Eye tracking study
KW - Human cognitive differences
KW - Human interaction proof schemes
KW - Image-recognition CAPTCHA
UR - http://www.scopus.com/inward/record.url?scp=85112180144&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-77392-2_5
DO - 10.1007/978-3-030-77392-2_5
M3 - Conference contribution
AN - SCOPUS:85112180144
SN - 9783030773915
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 66
EP - 75
BT - HCI for Cybersecurity, Privacy and Trust - 3rd International Conference, HCI-CPT 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
A2 - Moallem, Abbas
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2021, held as part of the 23rd International Conference, HCI International 2021
Y2 - 24 July 2021 through 29 July 2021
ER -