Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Brideau-Duquette, M.; Côté, S. S. -P.; Charbonneau, P.; Renaud, P.
When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics Navigate the Uncanny Proceedings Article
In: S., Itthipuripat; G.A., Ascoli; A., Li; N., Pat; H., Kuai (Ed.): Lect. Notes Comput. Sci., pp. 121–139, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 03029743 (ISSN); 978-981963293-0 (ISBN), (Journal Abbreviation: Lect. Notes Comput. Sci.).
Abstract | Links | BibTeX | Tags: Brain, Embodied Computing, Eye-tracking, Gaze behaviours, Human machine interaction, Immersive, Nonlinear index, Psychological effects, regression analysis, Regression modelling, Uncanny, Uncanny valley, Virtual environments, virtual reality
@inproceedings{brideau-duquette_when_2025,
title = {When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics Navigate the Uncanny},
author = {M. Brideau-Duquette and S. S. -P. Côté and P. Charbonneau and P. Renaud},
editor = {Itthipuripat S. and Ascoli G.A. and Li A. and Pat N. and Kuai H.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105002448490&doi=10.1007%2F978-981-96-3294-7_10&partnerID=40&md5=ced02f5a8061a51f213078ce6d6635f3},
doi = {10.1007/978-981-96-3294-7_10},
isbn = {03029743 (ISSN); 978-981963293-0 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Lect. Notes Comput. Sci.},
volume = {15541 LNAI},
pages = {121–139},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {This study explores the psychological effects of human-machine interaction, particularly focusing on the phenomenon of the uncanny valley within the context of virtual reality (VR). This study specifically investigates the relationship between oculomotor dynamics, EEG asymmetry, and perceived uncanniness in an immersive setting with a realistic human avatar that can generate uncanny feelings. Participants engaged in a VR scenario designed to optimize their sexual interest. Eye-tracking and EEG data were collected during these interactions to assess the predictors of uncanniness. The final regression model identified significant predictors, including EEG asymmetry in frontal and parietal regions and nonlinear indices of gaze behavior. The findings suggest that the more a participants’ attention was attracted towards specific cues, the higher the uncanniness. The interplay between EEG asymmetries and gaze behavior furthermore indicates that these physiological and behavioral responses are closely linked to the perception of uncanniness, offering insights into how humans interact with increasingly lifelike technologies. These insights contribute to a better understanding of HMI’s potential and may inform the development of more engaging and psychologically attuned virtual content. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.},
note = {Journal Abbreviation: Lect. Notes Comput. Sci.},
keywords = {Brain, Embodied Computing, Eye-tracking, Gaze behaviours, Human machine interaction, Immersive, Nonlinear index, Psychological effects, regression analysis, Regression modelling, Uncanny, Uncanny valley, Virtual environments, virtual reality},
pubstate = {published},
tppubtype = {inproceedings}
}
This study explores the psychological effects of human-machine interaction, particularly focusing on the phenomenon of the uncanny valley within the context of virtual reality (VR). This study specifically investigates the relationship between oculomotor dynamics, EEG asymmetry, and perceived uncanniness in an immersive setting with a realistic human avatar that can generate uncanny feelings. Participants engaged in a VR scenario designed to optimize their sexual interest. Eye-tracking and EEG data were collected during these interactions to assess the predictors of uncanniness. The final regression model identified significant predictors, including EEG asymmetry in frontal and parietal regions and nonlinear indices of gaze behavior. The findings suggest that the more a participants’ attention was attracted towards specific cues, the higher the uncanniness. The interplay between EEG asymmetries and gaze behavior furthermore indicates that these physiological and behavioral responses are closely linked to the perception of uncanniness, offering insights into how humans interact with increasingly lifelike technologies. These insights contribute to a better understanding of HMI’s potential and may inform the development of more engaging and psychologically attuned virtual content. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
2.
Renaud, P.; Chartier, S.; Fedoroff, P.; Bradford, J.; Rouleau, J. L.; Proulx, J.; Bouchard, S.
The use of virtual reality in clinical psychology research: Focusing on approach and avoidance behaviors Journal Article
In: Clinical Technologies: Concepts, Methodologies, Tools and Applications, pp. 2073–2093, 2011, ISSN: 978-160960562-9 (ISBN); 978-160960561-2 (ISBN).
Abstract | Links | BibTeX | Tags: Approach behaviours, Avoidance behaviour, Bioinformatics, Causal relationships, Clinical research, Complex composites, Experimental application, Health condition, Measurement techniques, Mental health, Patient response, Patient treatment, Psychophysiology, Simulation applications, Virtual environments, virtual reality
@article{renaud_use_2011,
title = {The use of virtual reality in clinical psychology research: Focusing on approach and avoidance behaviors},
author = {P. Renaud and S. Chartier and P. Fedoroff and J. Bradford and J. L. Rouleau and J. Proulx and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105014138805&doi=10.4018%2F978-1-60960-561-2.ch805&partnerID=40&md5=753e4060a90690ea0579eecb0f92ebcf},
doi = {10.4018/978-1-60960-561-2.ch805},
issn = {978-160960562-9 (ISBN); 978-160960561-2 (ISBN)},
year = {2011},
date = {2011-01-01},
journal = {Clinical Technologies: Concepts, Methodologies, Tools and Applications},
pages = {2073–2093},
abstract = {This chapter presents research that is laying a foundation for new simulation applications that promise learning-oriented treatments for mental health conditions. After presenting background on their technologies and measurement techniques, the authors describe experimental applications of this approach. Analysis of negative and positive responses to virtual reality (VR) stimuli, as well as their complex composites, can lead to a better understanding of patient responses, including fundamental perceptual and cognitive causal relationships. Measuring patients' dynamic parameters in VR simulations can possibly lead to new treatment approaches for psychopathologies The biological and behavioral feedback obtained by virtual mediation, based on parameters of the perceptivo-motor dynamics such those described in this chapter, represents a promising avenue for future investigation. © 2011 by IGI Global. All rights reserved.},
keywords = {Approach behaviours, Avoidance behaviour, Bioinformatics, Causal relationships, Clinical research, Complex composites, Experimental application, Health condition, Measurement techniques, Mental health, Patient response, Patient treatment, Psychophysiology, Simulation applications, Virtual environments, virtual reality},
pubstate = {published},
tppubtype = {article}
}
This chapter presents research that is laying a foundation for new simulation applications that promise learning-oriented treatments for mental health conditions. After presenting background on their technologies and measurement techniques, the authors describe experimental applications of this approach. Analysis of negative and positive responses to virtual reality (VR) stimuli, as well as their complex composites, can lead to a better understanding of patient responses, including fundamental perceptual and cognitive causal relationships. Measuring patients' dynamic parameters in VR simulations can possibly lead to new treatment approaches for psychopathologies The biological and behavioral feedback obtained by virtual mediation, based on parameters of the perceptivo-motor dynamics such those described in this chapter, represents a promising avenue for future investigation. © 2011 by IGI Global. All rights reserved.
3.
Chartier, S.; Renaud, P.
An online noise filter for eye-tracker data recorded in a virtual environment Proceedings Article
In: Eye Tracking Research and Applications Symposium (ETRA), pp. 153–156, Savannah, GA, 2008, ISBN: 978-159593982-1 (ISBN), (Journal Abbreviation: Eye Track. Res. Appl. Symp. (ETRA)).
Abstract | Links | BibTeX | Tags: Average filter, Eye trackers, Eye-blinks, Eye-tracker, Eye-tracker data, Noise filters, Noise removal, Noisy data, Off-line filters, Online filtering, Virtual environments, virtual reality
@inproceedings{chartier_online_2008,
title = {An online noise filter for eye-tracker data recorded in a virtual environment},
author = {S. Chartier and P. Renaud},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77950329450&doi=10.1145%2f1344471.1344511&partnerID=40&md5=7ba397a215e76c9d511800ccb267b5cd},
doi = {10.1145/1344471.1344511},
isbn = {978-159593982-1 (ISBN)},
year = {2008},
date = {2008-01-01},
booktitle = {Eye Tracking Research and Applications Symposium (ETRA)},
pages = {153–156},
address = {Savannah, GA},
abstract = {A Recursive Online Weight Average filter (ROWA) is proposed to remove and replace noisy data obtained from eye tracker. Since the filter can be implemented online, it can detect and replace noisy data using solely past records. Simulations results indicate that the filter achieved the same performance compared to other standard offline filters while being simpler. Copyright © 2008 by the Association for Computing Machinery, Inc.},
note = {Journal Abbreviation: Eye Track. Res. Appl. Symp. (ETRA)},
keywords = {Average filter, Eye trackers, Eye-blinks, Eye-tracker, Eye-tracker data, Noise filters, Noise removal, Noisy data, Off-line filters, Online filtering, Virtual environments, virtual reality},
pubstate = {published},
tppubtype = {inproceedings}
}
A Recursive Online Weight Average filter (ROWA) is proposed to remove and replace noisy data obtained from eye tracker. Since the filter can be implemented online, it can detect and replace noisy data using solely past records. Simulations results indicate that the filter achieved the same performance compared to other standard offline filters while being simpler. Copyright © 2008 by the Association for Computing Machinery, Inc.