Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Côté, L.; Lamontagne, J.; Bellerose, A.; Blais, C.; Fiset, D.
The eyes are central to face detection: revisiting the foundations of face processing Article de journal
Dans: Vision Research, vol. 243, 2026, ISSN: 00426989 (ISSN).
Résumé | Liens | BibTeX | Étiquettes: adult, article, Black person, Bubbles, Categorization, Caucasian, Detection, emotion assessment, Faces, Facial Recognition, facies, female, human, human experiment, Image analysis, information processing, Information use, male, Noise, normal human, perception, Prosopagnosia, spatial frequency discrimination, task performance, visual discrimination, Young Adult
@article{cote_eyes_2026,
title = {The eyes are central to face detection: revisiting the foundations of face processing},
author = {L. Côté and J. Lamontagne and A. Bellerose and C. Blais and D. Fiset},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105030389147&doi=10.1016%2Fj.visres.2026.108785&partnerID=40&md5=752aa5d9923ac60539e36118ad41e1e6},
doi = {10.1016/j.visres.2026.108785},
issn = {00426989 (ISSN)},
year = {2026},
date = {2026-01-01},
journal = {Vision Research},
volume = {243},
abstract = {Face detection feels effortless, yet it requires finely tuned computations to extract socially meaningful signals from the visual stream. Here, we used the Bubbles method to isolate the facial features and spatial frequency information that support face categorization. Across three experiments varying in task demands and visual context, the eye region consistently emerged as the most diagnostic source of information, particularly in high spatial frequencies. This finding held whether participants distinguished faces from noise, from non-face objects, or from real-world categories—suggesting that the eyes serve as an anchor point for categorization across contexts. Strikingly, this diagnostic profile mirrors that found in face identification tasks, implying that detection and recognition may rely on shared perceptual mechanisms rather than sequential, independent processes. This overlap sheds light on longstanding ambiguities in the prosopagnosia literature, indicating that detection impairments found in patients may stem from a broader failure to extract critical eye information. More broadly, our results invite a rethinking of the early stages of face processing, suggesting that detection already involves selective use of diagnostic facial features that supports recognition, emotional decoding, and social perception. © 2026 The Author(s).},
keywords = {adult, article, Black person, Bubbles, Categorization, Caucasian, Detection, emotion assessment, Faces, Facial Recognition, facies, female, human, human experiment, Image analysis, information processing, Information use, male, Noise, normal human, perception, Prosopagnosia, spatial frequency discrimination, task performance, visual discrimination, Young Adult},
pubstate = {published},
tppubtype = {article}
}
Face detection feels effortless, yet it requires finely tuned computations to extract socially meaningful signals from the visual stream. Here, we used the Bubbles method to isolate the facial features and spatial frequency information that support face categorization. Across three experiments varying in task demands and visual context, the eye region consistently emerged as the most diagnostic source of information, particularly in high spatial frequencies. This finding held whether participants distinguished faces from noise, from non-face objects, or from real-world categories—suggesting that the eyes serve as an anchor point for categorization across contexts. Strikingly, this diagnostic profile mirrors that found in face identification tasks, implying that detection and recognition may rely on shared perceptual mechanisms rather than sequential, independent processes. This overlap sheds light on longstanding ambiguities in the prosopagnosia literature, indicating that detection impairments found in patients may stem from a broader failure to extract critical eye information. More broadly, our results invite a rethinking of the early stages of face processing, suggesting that detection already involves selective use of diagnostic facial features that supports recognition, emotional decoding, and social perception. © 2026 The Author(s).
2.
Nosrati, S.; Motaghi, H.
The AI Complacency Model: Integrating Bounded Rationality and Information Processing Article d'actes
Dans: Am. Conf. Inf. Syst., AMCIS, p. 4590–4599, Association for Information Systems, 2025, ISBN: 979-833132774-3 (ISBN).
Résumé | Liens | BibTeX | Étiquettes: AI complacency, AI systems, Artificial intelligence, Behavioral research, Bounded rationality, Cognitive bias, cognitive biases, decision-making, Decisions makings, Heuristic processing, Human computer interaction, Human-AI interaction, information processing, Information systems, Information use, Perceived AI reliability, Reliability theory, Systematic processing, Vigilance
@inproceedings{nosrati_ai_2025,
title = {The AI Complacency Model: Integrating Bounded Rationality and Information Processing},
author = {S. Nosrati and H. Motaghi},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105025349267&partnerID=40&md5=14d676bedd3ea18921ed24a830889a8b},
isbn = {979-833132774-3 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Am. Conf. Inf. Syst., AMCIS},
volume = {7},
pages = {4590–4599},
publisher = {Association for Information Systems},
abstract = {This study addresses a critical gap in understanding why users exhibit reduced oversight when interacting with generative AI systems despite their known limitations. While existing research documents AI errors across domains, theoretical frameworks explaining the underlying psychological mechanisms remain underdeveloped. We propose a comprehensive model of AI complacency that extends beyond traditional automation complacency theories by integrating bounded rationality constraints with dual-process information processing models. Our framework demonstrates how Perceived AI Reliability triggers a shift from systematic to heuristic information processing, subsequently reducing vigilance and impairing task performance. The relationship between Perceived AI Reliability and information processing is moderated by three key factors derived from bounded rationality theory: knowledge limitations, cognitive processing capabilities, and time constraints. The proposed conceptual model of this study contributes to the literature by identifying unique psychological mechanisms underlying AI complacency, explaining the processing shifts in human-AI interaction, positioning vigilance as a critical mediating mechanism, and introducing the Vigilance-Reliability Matrix as a diagnostic tool for identifying different interaction patterns. This framework offers both theoretical insights and practical guidance for maintaining appropriate human oversight as AI systems become increasingly sophisticated and widespread across domains. Copyright © 2025 by Association for Information Systems (AIS). All rights reserved.},
keywords = {AI complacency, AI systems, Artificial intelligence, Behavioral research, Bounded rationality, Cognitive bias, cognitive biases, decision-making, Decisions makings, Heuristic processing, Human computer interaction, Human-AI interaction, information processing, Information systems, Information use, Perceived AI reliability, Reliability theory, Systematic processing, Vigilance},
pubstate = {published},
tppubtype = {inproceedings}
}
This study addresses a critical gap in understanding why users exhibit reduced oversight when interacting with generative AI systems despite their known limitations. While existing research documents AI errors across domains, theoretical frameworks explaining the underlying psychological mechanisms remain underdeveloped. We propose a comprehensive model of AI complacency that extends beyond traditional automation complacency theories by integrating bounded rationality constraints with dual-process information processing models. Our framework demonstrates how Perceived AI Reliability triggers a shift from systematic to heuristic information processing, subsequently reducing vigilance and impairing task performance. The relationship between Perceived AI Reliability and information processing is moderated by three key factors derived from bounded rationality theory: knowledge limitations, cognitive processing capabilities, and time constraints. The proposed conceptual model of this study contributes to the literature by identifying unique psychological mechanisms underlying AI complacency, explaining the processing shifts in human-AI interaction, positioning vigilance as a critical mediating mechanism, and introducing the Vigilance-Reliability Matrix as a diagnostic tool for identifying different interaction patterns. This framework offers both theoretical insights and practical guidance for maintaining appropriate human oversight as AI systems become increasingly sophisticated and widespread across domains. Copyright © 2025 by Association for Information Systems (AIS). All rights reserved.
3.
Blais, C.; Fiset, D.; Côté, L.; Ledrou-Paquet, V.; Charbonneau, I.
Conducting online visual psychophysics experiments: A replication assessment of two face processing studies Article de journal
Dans: Vision Research, vol. 233, 2025, ISSN: 00426989 (ISSN), (Publisher: Elsevier Ltd).
Résumé | Liens | BibTeX | Étiquettes: adult, article, cultural factor, experiment, Facial Recognition, female, geography, human, human experiment, Humans, information processing, laboratory, male, normal human, online system, Photic Stimulation, photostimulation, physiology, procedures, psychology, Psychophysics, recognition, stimulus response, vision, visual stimulation, Young Adult
@article{blais_conducting_2025,
title = {Conducting online visual psychophysics experiments: A replication assessment of two face processing studies},
author = {C. Blais and D. Fiset and L. Côté and V. Ledrou-Paquet and I. Charbonneau},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004807446&doi=10.1016%2fj.visres.2025.108617&partnerID=40&md5=771b056e57c4d7a34ff7c56ce39a4bd2},
doi = {10.1016/j.visres.2025.108617},
issn = {00426989 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Vision Research},
volume = {233},
publisher = {Elsevier Ltd},
abstract = {In vision sciences, researchers rigorously control the testing environment and the physical properties of stimuli, making it challenging to conduct visual perception experiments online. However, online research offers key advantages, including access to larger and more diverse participant samples, helping to address the problem of underpowered studies and to enhance the generalizability of results. In face recognition research, increasing diversity is essential, especially considering evidence that cultural and geographical factors influence basic visual face processing. The present study tested a new online platform, Pack & Go from VPixx Technologies, that supports experiments written in MATLAB and Python. Two face recognition experiments based on a data-driven psychophysical method involving real-time stimulus manipulation and relying on functions from the Psychtoolbox were tested. In Experiment 1, the visual information used for face recognition was compared across four conditions that gradually reduced experimental control over the testing environment and stimulus properties. In Experiment 2, the association between face recognition abilities and information utilization was measured online and compared to lab-based results. In both experiments, results obtained in the lab and online were highly similar, demonstrating the potential of online research for vision science. © 2025 The Author(s)},
note = {Publisher: Elsevier Ltd},
keywords = {adult, article, cultural factor, experiment, Facial Recognition, female, geography, human, human experiment, Humans, information processing, laboratory, male, normal human, online system, Photic Stimulation, photostimulation, physiology, procedures, psychology, Psychophysics, recognition, stimulus response, vision, visual stimulation, Young Adult},
pubstate = {published},
tppubtype = {article}
}
In vision sciences, researchers rigorously control the testing environment and the physical properties of stimuli, making it challenging to conduct visual perception experiments online. However, online research offers key advantages, including access to larger and more diverse participant samples, helping to address the problem of underpowered studies and to enhance the generalizability of results. In face recognition research, increasing diversity is essential, especially considering evidence that cultural and geographical factors influence basic visual face processing. The present study tested a new online platform, Pack & Go from VPixx Technologies, that supports experiments written in MATLAB and Python. Two face recognition experiments based on a data-driven psychophysical method involving real-time stimulus manipulation and relying on functions from the Psychtoolbox were tested. In Experiment 1, the visual information used for face recognition was compared across four conditions that gradually reduced experimental control over the testing environment and stimulus properties. In Experiment 2, the association between face recognition abilities and information utilization was measured online and compared to lab-based results. In both experiments, results obtained in the lab and online were highly similar, demonstrating the potential of online research for vision science. © 2025 The Author(s)
4.
Plouffe-Demers, M. -P.; Saumure, C.; Fiset, D.; Cormier, S.; Blais, C.
Facial Expression of Pain: Sex Differences in the Discrimination of Varying Intensities Article de journal
Dans: Emotion, vol. 23, no 5, p. 1254–1266, 2022, ISSN: 15283542 (ISSN), (Publisher: American Psychological Association).
Résumé | Liens | BibTeX | Étiquettes: adult, article, controlled study, data-driven methods, effect size, Empathy, Facial Expression, facial expressions, female, human, human experiment, information processing, male, normal human, Pain, pain intensity, qualitative research, sample size, sex difference, sex differences, vision, visual acuity, visual information, Visual Perception
@article{plouffe-demers_facial_2022,
title = {Facial Expression of Pain: Sex Differences in the Discrimination of Varying Intensities},
author = {M. -P. Plouffe-Demers and C. Saumure and D. Fiset and S. Cormier and C. Blais},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138214204&doi=10.1037%2femo0001156&partnerID=40&md5=d5063c7ab05722c16694952ac5d53027},
doi = {10.1037/emo0001156},
issn = {15283542 (ISSN)},
year = {2022},
date = {2022-01-01},
journal = {Emotion},
volume = {23},
number = {5},
pages = {1254–1266},
publisher = {American Psychological Association},
abstract = {It has been proposed that women are better than men at recognizing emotions and pain experienced by others. They have also been shown to be more sensitive to variations in pain expressions. The objective of the present study was to explore the perceptual basis of these sexual differences by comparing the visual information used by men and women to discriminate between different intensities of pain facial expressions. Using the data-driven Bubbles method, we were able to corroborate the woman advantage in the discrimination of pain intensities that did not appear to be explained by variations in empathic tendencies. In terms of visual strategies, our results do not indicate any qualitative differences in the facial regions used by men and women. However, they suggest that women rely on larger regions of the face that seems to completely mediate their advantage. This utilization of larger clusters could indicate either that women integrate simultaneously and more efficiently information coming from different areas of the face or that they are more flexible in the utilization of the information present in these clusters. Women would then opt for a more holistic or flexible processing of the facial information, while men would rely on a specific yet rigid integration strategy. © 2022 American Psychological Association},
note = {Publisher: American Psychological Association},
keywords = {adult, article, controlled study, data-driven methods, effect size, Empathy, Facial Expression, facial expressions, female, human, human experiment, information processing, male, normal human, Pain, pain intensity, qualitative research, sample size, sex difference, sex differences, vision, visual acuity, visual information, Visual Perception},
pubstate = {published},
tppubtype = {article}
}
It has been proposed that women are better than men at recognizing emotions and pain experienced by others. They have also been shown to be more sensitive to variations in pain expressions. The objective of the present study was to explore the perceptual basis of these sexual differences by comparing the visual information used by men and women to discriminate between different intensities of pain facial expressions. Using the data-driven Bubbles method, we were able to corroborate the woman advantage in the discrimination of pain intensities that did not appear to be explained by variations in empathic tendencies. In terms of visual strategies, our results do not indicate any qualitative differences in the facial regions used by men and women. However, they suggest that women rely on larger regions of the face that seems to completely mediate their advantage. This utilization of larger clusters could indicate either that women integrate simultaneously and more efficiently information coming from different areas of the face or that they are more flexible in the utilization of the information present in these clusters. Women would then opt for a more holistic or flexible processing of the facial information, while men would rely on a specific yet rigid integration strategy. © 2022 American Psychological Association
5.
Khazaal, Y.; Favrod, J.; Sort, A.; Borgeat, F.; Bouchard, S.
Editorial: Computers and games for mental health and well-being Article de journal
Dans: Frontiers in Psychiatry, vol. 9, no APR, 2018, ISSN: 16640640 (ISSN), (Publisher: Frontiers Media S.A.).
Liens | BibTeX | Étiquettes: augmented reality, Cognitive behavior therapy, Cognitive remediation, computer assisted therapy, controlled clinical trial (topic), editorial, human, information processing, Internet treatment, mental disease, mental health care, mobile application, Patient Compliance, prophylaxis, schizophrenia, Serious games, Smartphone app, telehealth, video game, virtual reality, wellbeing
@article{khazaal_editorial_2018,
title = {Editorial: Computers and games for mental health and well-being},
author = {Y. Khazaal and J. Favrod and A. Sort and F. Borgeat and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045511603&doi=10.3389%2ffpsyt.2018.00141&partnerID=40&md5=51e50eac3fa902a4358d2bbf8562179c},
doi = {10.3389/fpsyt.2018.00141},
issn = {16640640 (ISSN)},
year = {2018},
date = {2018-01-01},
journal = {Frontiers in Psychiatry},
volume = {9},
number = {APR},
publisher = {Frontiers Media S.A.},
note = {Publisher: Frontiers Media S.A.},
keywords = {augmented reality, Cognitive behavior therapy, Cognitive remediation, computer assisted therapy, controlled clinical trial (topic), editorial, human, information processing, Internet treatment, mental disease, mental health care, mobile application, Patient Compliance, prophylaxis, schizophrenia, Serious games, Smartphone app, telehealth, video game, virtual reality, wellbeing},
pubstate = {published},
tppubtype = {article}
}
6.
Côté, S.; Bouchard, S.
Documenting the efficacy of virtual realityexposure with psychophysiological and information processing measures Article de journal
Dans: Applied Psychophysiology Biofeedback, vol. 30, no 3, p. 217–232, 2005, ISSN: 10900586 (ISSN).
Résumé | Liens | BibTeX | Étiquettes: adult, analysis of variance, Animals, arachnophobia, Arousal, article, avoidance behavior, cardiovascular response, clinical article, emotion, Emotions, exposure, Fear, female, Heart Rate, human, Humans, information processing, male, medical documentation, Mental Processes, Middle Aged, outcomes research, phobia, phobias, Phobic Disorders, Psychophysiology, questionnaire, Reproducibility of Results, self report, spider, Spiders, standardization, stimulus response, task performance, threat, treatment outcome, User-Computer Interface, virtual reality, Visual Perception, visual stimulation
@article{cote_documenting_2005,
title = {Documenting the efficacy of virtual realityexposure with psychophysiological and information processing measures},
author = {S. Côté and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-25144467954&doi=10.1007%2fs10484-005-6379-x&partnerID=40&md5=12308d48c2d79eff9c6446385244c27c},
doi = {10.1007/s10484-005-6379-x},
issn = {10900586 (ISSN)},
year = {2005},
date = {2005-01-01},
journal = {Applied Psychophysiology Biofeedback},
volume = {30},
number = {3},
pages = {217–232},
abstract = {Many outcome studies have been conducted to assess the efficacy of virtual reality in the treatment of specific phobias. However, most studies used self-report data. The addition of objective measures of arousal and information processing mechanisms would be a valuable contribution in order to validate the usefulness of virtual reality in the treatment of anxiety disorders. The goal of this study was to document the impact of virtual reality exposure (VRE) on cardiac response and automatic processing of threatening stimuli. Twenty-eight adults suffering from arachnophobia were assessed and received an exposure-based treatment using virtual reality. General outcome and specific processes measures included a battery of standardized questionnaires, a pictorial emotional Stroop task, a behavioral avoidance test and a measure of participants' inter-beat intervals (IBI) while they were looking at a live tarantula. Assessment was conducted before and after treatment. Repeated measures ANOVAs revealed that therapy had a positive impact on questionnaire data, as well as on the behavioral avoidance test. Analyses made on the pictorial Stroop task showed that information processing of spider-related stimuli changed after treatment, which also indicates therapeutic success. Psychophysiological data also showed a positive change after treatment, suggesting a decrease in anxiety. In sum, VRE led to significant therapeutic improvements on objective measures as well as on self-report instruments. © 2005 Springer Science+Business Media, Inc.},
keywords = {adult, analysis of variance, Animals, arachnophobia, Arousal, article, avoidance behavior, cardiovascular response, clinical article, emotion, Emotions, exposure, Fear, female, Heart Rate, human, Humans, information processing, male, medical documentation, Mental Processes, Middle Aged, outcomes research, phobia, phobias, Phobic Disorders, Psychophysiology, questionnaire, Reproducibility of Results, self report, spider, Spiders, standardization, stimulus response, task performance, threat, treatment outcome, User-Computer Interface, virtual reality, Visual Perception, visual stimulation},
pubstate = {published},
tppubtype = {article}
}
Many outcome studies have been conducted to assess the efficacy of virtual reality in the treatment of specific phobias. However, most studies used self-report data. The addition of objective measures of arousal and information processing mechanisms would be a valuable contribution in order to validate the usefulness of virtual reality in the treatment of anxiety disorders. The goal of this study was to document the impact of virtual reality exposure (VRE) on cardiac response and automatic processing of threatening stimuli. Twenty-eight adults suffering from arachnophobia were assessed and received an exposure-based treatment using virtual reality. General outcome and specific processes measures included a battery of standardized questionnaires, a pictorial emotional Stroop task, a behavioral avoidance test and a measure of participants' inter-beat intervals (IBI) while they were looking at a live tarantula. Assessment was conducted before and after treatment. Repeated measures ANOVAs revealed that therapy had a positive impact on questionnaire data, as well as on the behavioral avoidance test. Analyses made on the pictorial Stroop task showed that information processing of spider-related stimuli changed after treatment, which also indicates therapeutic success. Psychophysiological data also showed a positive change after treatment, suggesting a decrease in anxiety. In sum, VRE led to significant therapeutic improvements on objective measures as well as on self-report instruments. © 2005 Springer Science+Business Media, Inc.