Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Joudeh, I. O.; Cretu, A. -M.; Bouchard, S.; Guimond, S.
Prediction of Continuous Emotional Measures through Physiological and Visual Data † Article de journal
Dans: Sensors, vol. 23, no 12, 2023, ISSN: 14248220, (Publisher: MDPI).
Résumé | Liens | BibTeX | Étiquettes: Affect recognition, Affective state, Arousal, Data-source, Deep learning, Electrocardiography, emotion, Emotion Recognition, Emotions, face recognition, Faces detection, Forecasting, human, Humans, Images processing, Learning systems, Machine learning, Machine-learning, mental disease, Mental Disorders, Physiological data, physiology, Signal-processing, Statistical tests, Video recording, Virtual-reality environment
@article{joudeh_prediction_2023,
title = {Prediction of Continuous Emotional Measures through Physiological and Visual Data †},
author = {I. O. Joudeh and A. -M. Cretu and S. Bouchard and S. Guimond},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163943735&doi=10.3390%2fs23125613&partnerID=40&md5=5e970f0d8c5790b85d8d77a9f3f52a2d},
doi = {10.3390/s23125613},
issn = {14248220},
year = {2023},
date = {2023-01-01},
journal = {Sensors},
volume = {23},
number = {12},
abstract = {The affective state of a person can be measured using arousal and valence values. In this article, we contribute to the prediction of arousal and valence values from various data sources. Our goal is to later use such predictive models to adaptively adjust virtual reality (VR) environments and help facilitate cognitive remediation exercises for users with mental health disorders, such as schizophrenia, while avoiding discouragement. Building on our previous work on physiological, electrodermal activity (EDA) and electrocardiogram (ECG) recordings, we propose improving preprocessing and adding novel feature selection and decision fusion processes. We use video recordings as an additional data source for predicting affective states. We implement an innovative solution based on a combination of machine learning models alongside a series of preprocessing steps. We test our approach on RECOLA, a publicly available dataset. The best results are obtained with a concordance correlation coefficient (CCC) of 0.996 for arousal and 0.998 for valence using physiological data. Related work in the literature reported lower CCCs on the same data modality; thus, our approach outperforms the state-of-the-art approaches for RECOLA. Our study underscores the potential of using advanced machine learning techniques with diverse data sources to enhance the personalization of VR environments. © 2023 by the authors.},
note = {Publisher: MDPI},
keywords = {Affect recognition, Affective state, Arousal, Data-source, Deep learning, Electrocardiography, emotion, Emotion Recognition, Emotions, face recognition, Faces detection, Forecasting, human, Humans, Images processing, Learning systems, Machine learning, Machine-learning, mental disease, Mental Disorders, Physiological data, physiology, Signal-processing, Statistical tests, Video recording, Virtual-reality environment},
pubstate = {published},
tppubtype = {article}
}
The affective state of a person can be measured using arousal and valence values. In this article, we contribute to the prediction of arousal and valence values from various data sources. Our goal is to later use such predictive models to adaptively adjust virtual reality (VR) environments and help facilitate cognitive remediation exercises for users with mental health disorders, such as schizophrenia, while avoiding discouragement. Building on our previous work on physiological, electrodermal activity (EDA) and electrocardiogram (ECG) recordings, we propose improving preprocessing and adding novel feature selection and decision fusion processes. We use video recordings as an additional data source for predicting affective states. We implement an innovative solution based on a combination of machine learning models alongside a series of preprocessing steps. We test our approach on RECOLA, a publicly available dataset. The best results are obtained with a concordance correlation coefficient (CCC) of 0.996 for arousal and 0.998 for valence using physiological data. Related work in the literature reported lower CCCs on the same data modality; thus, our approach outperforms the state-of-the-art approaches for RECOLA. Our study underscores the potential of using advanced machine learning techniques with diverse data sources to enhance the personalization of VR environments. © 2023 by the authors.
2.
Dugas, M. J.; Sexton, K. A.; Hebert, E. A.; Bouchard, S.; Gouin, J. -P.; Shafran, R.
Behavioral Experiments for Intolerance of Uncertainty: A Randomized Clinical Trial for Adults With Generalized Anxiety Disorder Article de journal
Dans: Behavior Therapy, vol. 53, no 6, p. 1147–1160, 2022, ISSN: 00057894 (ISSN), (Publisher: Elsevier Inc.).
Résumé | Liens | BibTeX | Étiquettes: adult, aged, antidepressant agent, Anxiety, Anxiety disorder, Anxiety Disorders, anxiolytic agent, article, behavior assessment, behavioral experiments, benzodiazepine, cognitive behavioral therapy, cognitive vulnerability, Cognitive-behavioral treatment, confusion (uncertainty), controlled study, dependent variable, Depression, disease severity, female, follow up, generalized anxiety disorder, growth curve, human, Humans, intolerance of uncertainty, major clinical study, male, mental disease, outcome assessment, patient worry, procedures, psychology, randomized controlled trial, uncertainty
@article{dugas_behavioral_2022,
title = {Behavioral Experiments for Intolerance of Uncertainty: A Randomized Clinical Trial for Adults With Generalized Anxiety Disorder},
author = {M. J. Dugas and K. A. Sexton and E. A. Hebert and S. Bouchard and J. -P. Gouin and R. Shafran},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133178888&doi=10.1016%2fj.beth.2022.05.003&partnerID=40&md5=4dd15547cbef29c5f1adc84169176c53},
doi = {10.1016/j.beth.2022.05.003},
issn = {00057894 (ISSN)},
year = {2022},
date = {2022-01-01},
journal = {Behavior Therapy},
volume = {53},
number = {6},
pages = {1147–1160},
abstract = {Sophisticated multicomponent treatments for adults with generalized anxiety disorder (GAD) have been developed over the past three decades. Although these comprehensive treatments have produced encouraging results, they appear to be less efficacious than treatments for other anxiety disorders. The goal of this randomized controlled trial is to test a newly developed, highly focused treatment for adults with GAD: Behavioral Experiments for Intolerance of Uncertainty. Sixty (60) participants (51 women, 9 men), with a mean age of 34.60 years (range: 19 to 67 years), were randomized to either treatment (n = 30) or wait-list control (n = 30). Treatment consisted of 12 weekly 1-hour sessions in which participants learned to use behavioral experiments to test their catastrophic beliefs about uncertainty. Assessments were conducted at pre-, mid- and postcondition, and at 6- and 12-month follow-up. The primary outcome was the severity of GAD, and secondary outcomes were worry, depression, somatic anxiety, and intolerance of uncertainty. Using growth curve modeling, we found that (1) the treatment group was superior to the wait-list group in terms of change from pre- to posttest on all outcomes; (2) the combined sample (once wait-listed participants received treatment) evidenced large and significant decreases on all outcomes; and (3) treatment gains were either maintained or increased over the 12-month follow-up period of the study. The new treatment is a promising treatment option for adults with GAD considering that it may be as efficacious as more comprehensive evidence-based psychological treatments for GAD. © 2022},
note = {Publisher: Elsevier Inc.},
keywords = {adult, aged, antidepressant agent, Anxiety, Anxiety disorder, Anxiety Disorders, anxiolytic agent, article, behavior assessment, behavioral experiments, benzodiazepine, cognitive behavioral therapy, cognitive vulnerability, Cognitive-behavioral treatment, confusion (uncertainty), controlled study, dependent variable, Depression, disease severity, female, follow up, generalized anxiety disorder, growth curve, human, Humans, intolerance of uncertainty, major clinical study, male, mental disease, outcome assessment, patient worry, procedures, psychology, randomized controlled trial, uncertainty},
pubstate = {published},
tppubtype = {article}
}
Sophisticated multicomponent treatments for adults with generalized anxiety disorder (GAD) have been developed over the past three decades. Although these comprehensive treatments have produced encouraging results, they appear to be less efficacious than treatments for other anxiety disorders. The goal of this randomized controlled trial is to test a newly developed, highly focused treatment for adults with GAD: Behavioral Experiments for Intolerance of Uncertainty. Sixty (60) participants (51 women, 9 men), with a mean age of 34.60 years (range: 19 to 67 years), were randomized to either treatment (n = 30) or wait-list control (n = 30). Treatment consisted of 12 weekly 1-hour sessions in which participants learned to use behavioral experiments to test their catastrophic beliefs about uncertainty. Assessments were conducted at pre-, mid- and postcondition, and at 6- and 12-month follow-up. The primary outcome was the severity of GAD, and secondary outcomes were worry, depression, somatic anxiety, and intolerance of uncertainty. Using growth curve modeling, we found that (1) the treatment group was superior to the wait-list group in terms of change from pre- to posttest on all outcomes; (2) the combined sample (once wait-listed participants received treatment) evidenced large and significant decreases on all outcomes; and (3) treatment gains were either maintained or increased over the 12-month follow-up period of the study. The new treatment is a promising treatment option for adults with GAD considering that it may be as efficacious as more comprehensive evidence-based psychological treatments for GAD. © 2022
3.
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},
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}
}
4.
Klinger, E.; Bouchard, S.; Légeron, P.; Roy, S.; Lauer, F.; Chemin, I.; Nugues, P.
Virtual reality therapy versus cognitive behavior therapy for social phobia: A preliminary controlled study Article de journal
Dans: Cyberpsychology and Behavior, vol. 8, no 1, p. 76–88, 2005, ISSN: 10949313.
Résumé | Liens | BibTeX | Étiquettes: Adaptation, adult, article, Assertiveness, behavior therapy, clinical article, cognition, cognitive therapy, Fear, female, human, Humans, intermethod comparison, Internet, intimacy, male, mental disease, Phobic Disorders, Psychological, social adaptation, social phobia, User-Computer Interface, virtual reality
@article{klinger_virtual_2005,
title = {Virtual reality therapy versus cognitive behavior therapy for social phobia: A preliminary controlled study},
author = {E. Klinger and S. Bouchard and P. Légeron and S. Roy and F. Lauer and I. Chemin and P. Nugues},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-14644388092&doi=10.1089%2fcpb.2005.8.76&partnerID=40&md5=d1f12e0841a740be314b8154a6c8e5b6},
doi = {10.1089/cpb.2005.8.76},
issn = {10949313},
year = {2005},
date = {2005-01-01},
journal = {Cyberpsychology and Behavior},
volume = {8},
number = {1},
pages = {76–88},
abstract = {Social phobia is one of the most frequent mental disorders and is accessible to two forms of scientifically validated treatments: anti-depressant drugs and cognitive behavior therapies (CBT). In this last case, graded exposure to feared social situations is one of the fundamental therapeutic ingredients. Virtual reality technologies are an interesting alternative to the standard exposure in social phobia, especially since studies have shown its usefulness for the fear of public speaking. This paper reports a preliminary study in which a virtual reality therapy (VRT), based on exposure to virtual environments, was used to treat social phobia. The sample consisted of 36 participants diagnosed with social phobia assigned to either VRT or a group-CBT (control condition). The virtual environments used in the treatment recreate four situations dealing with social anxiety: performance, intimacy, scrutiny, and assertiveness. With the help of the therapist, the patient learns adapted cognitions and behaviors in order to reduce anxiety in the corresponding real situations. Both treatments lasted 12 weeks, and sessions were delivered according to a treatment manual. Results showed statistically and clinically significant improvement in both conditions. The effect-sizes comparing the efficacy of VRT to the control traditional group-CBT revealed that the differences between the two treatments are trivial. © Mary Ann Liebert, Inc.},
keywords = {Adaptation, adult, article, Assertiveness, behavior therapy, clinical article, cognition, cognitive therapy, Fear, female, human, Humans, intermethod comparison, Internet, intimacy, male, mental disease, Phobic Disorders, Psychological, social adaptation, social phobia, User-Computer Interface, virtual reality},
pubstate = {published},
tppubtype = {article}
}
Social phobia is one of the most frequent mental disorders and is accessible to two forms of scientifically validated treatments: anti-depressant drugs and cognitive behavior therapies (CBT). In this last case, graded exposure to feared social situations is one of the fundamental therapeutic ingredients. Virtual reality technologies are an interesting alternative to the standard exposure in social phobia, especially since studies have shown its usefulness for the fear of public speaking. This paper reports a preliminary study in which a virtual reality therapy (VRT), based on exposure to virtual environments, was used to treat social phobia. The sample consisted of 36 participants diagnosed with social phobia assigned to either VRT or a group-CBT (control condition). The virtual environments used in the treatment recreate four situations dealing with social anxiety: performance, intimacy, scrutiny, and assertiveness. With the help of the therapist, the patient learns adapted cognitions and behaviors in order to reduce anxiety in the corresponding real situations. Both treatments lasted 12 weeks, and sessions were delivered according to a treatment manual. Results showed statistically and clinically significant improvement in both conditions. The effect-sizes comparing the efficacy of VRT to the control traditional group-CBT revealed that the differences between the two treatments are trivial. © Mary Ann Liebert, Inc.
5.
Vincelli, F.; Anolli, L.; Bouchard, S.; Wiederhold, B. K.; Zurloni, V.; Riva, G.
Experiential cognitive therapy in the treatment of panic disorders with agoraphobia: A controlled study Article de journal
Dans: Cyberpsychology and Behavior, vol. 6, no 3, p. 321–328, 2003, ISSN: 10949313 (ISSN).
Résumé | Liens | BibTeX | Étiquettes: adult, agoraphobia, Anxiety disorder, behavior therapy, clinical article, cognitive therapy, computer program, conference paper, controlled study, experiential cognitive therapy, human, mental disease, panic, phobia, treatment outcome, virtual reality
@article{vincelli_experiential_2003,
title = {Experiential cognitive therapy in the treatment of panic disorders with agoraphobia: A controlled study},
author = {F. Vincelli and L. Anolli and S. Bouchard and B. K. Wiederhold and V. Zurloni and G. Riva},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0038644720&doi=10.1089%2f109493103322011632&partnerID=40&md5=e32ca8fdb013d3ff9a88844a28b21acd},
doi = {10.1089/109493103322011632},
issn = {10949313 (ISSN)},
year = {2003},
date = {2003-01-01},
journal = {Cyberpsychology and Behavior},
volume = {6},
number = {3},
pages = {321–328},
abstract = {The use of a multicomponent cognitive-behavioral treatment strategy for panic disorder with agoraphobia is actually one of the preferred therapeutic approaches for this disturbance. This method involves a mixture of cognitive and behavioral techniques that are intended to help patients identify and modify their dysfunctional anxiety-related thoughts, beliefs and behavior. The paper presents a new treatment protocol for Panic Disorder and Agoraphobia, named Experiential-Cognitive Therapy (ECT) that integrates the use of virtual reality (VR) in a multicomponent cognitive-behavioral treatment strategy. The VR software used for the trial is freely downloadable: www.cyberpsychology.info/try.htm. Moreover, the paper presents the result of a controlled study involving 12 consecutive patients aged 35-53. The selected subjects were randomly divided in three groups: ECT group, that experienced the Cognitive Behavioral Therapy-Virtual Reality assisted treatment (eight sessions), a CBT group that experienced the traditional Cognitive Behavioral approach (12 sessions) and a waiting list control group. The data showed that both CBT and ECT could significantly reduce the number of panic attacks, the level of depression and both state and trait anxiety. However, ECT procured these results using 33% fewer sessions than CBT. This datum suggests that ECT could be better than CBT in relation to the "cost of administration," justifying the added use of VR equipment in the treatment of panic disorders.},
keywords = {adult, agoraphobia, Anxiety disorder, behavior therapy, clinical article, cognitive therapy, computer program, conference paper, controlled study, experiential cognitive therapy, human, mental disease, panic, phobia, treatment outcome, virtual reality},
pubstate = {published},
tppubtype = {article}
}
The use of a multicomponent cognitive-behavioral treatment strategy for panic disorder with agoraphobia is actually one of the preferred therapeutic approaches for this disturbance. This method involves a mixture of cognitive and behavioral techniques that are intended to help patients identify and modify their dysfunctional anxiety-related thoughts, beliefs and behavior. The paper presents a new treatment protocol for Panic Disorder and Agoraphobia, named Experiential-Cognitive Therapy (ECT) that integrates the use of virtual reality (VR) in a multicomponent cognitive-behavioral treatment strategy. The VR software used for the trial is freely downloadable: www.cyberpsychology.info/try.htm. Moreover, the paper presents the result of a controlled study involving 12 consecutive patients aged 35-53. The selected subjects were randomly divided in three groups: ECT group, that experienced the Cognitive Behavioral Therapy-Virtual Reality assisted treatment (eight sessions), a CBT group that experienced the traditional Cognitive Behavioral approach (12 sessions) and a waiting list control group. The data showed that both CBT and ECT could significantly reduce the number of panic attacks, the level of depression and both state and trait anxiety. However, ECT procured these results using 33% fewer sessions than CBT. This datum suggests that ECT could be better than CBT in relation to the "cost of administration," justifying the added use of VR equipment in the treatment of panic disorders.