@article{cornoExploringVirtualReality2026,

title = {Exploring Virtual Reality for Body Image Assessment and Psychological Interventions in Individuals With Obesity: a Comprehensive Review},

author = {G. Corno and Á. Zamora and S. Bouchard and R. Baños and A. Baillot and J. Monthuy-Blanc},

url = {https://www.scopus.com/pages/publications/105024457568?origin=resultslist},

doi = {10.1111/obr.70051},

issn = {14677881 (ISSN)},

year  = {2026},

date = {2026-01-01},

journal = {Obesity Reviews},

volume = {27},

number = {4},

publisher = {John Wiley and Sons Inc},

abstract = {Introduction: Individuals living with obesity often experience body image (BI) disturbances, which can negatively affect their quality of life and treatment outcomes. Virtual reality (VR) has emerged as a promising tool for enhancing psychological interventions, but no comprehensive review has specifically focused on VR-based studies addressing BI disturbances in this population. Methods: This comprehensive review examined studies utilizing VR for the assessment and treatment of BI disturbances in individuals with obesity. Twelve studies met the inclusion criteria. Results: Studies were categorized into three groups: (i) VR in psychological interventions for individuals with obesity, (ii) VR interventions following metabolic and bariatric surgery, and (iii) VR-based full-body illusion experiments. The primary clinical application was experiential cognitive therapy, which demonstrated greater efficacy in reducing negative BI compared with standard cognitive behavioral therapy and other treatments. Studies involving post-metabolic and bariatric surgery adults also supported VR's efficacy in reducing BI dissatisfaction, though long-term benefits were inconsistent. Full-body illusion experiments suggested that VR can help modify distorted body perceptions. However, most studies were conducted by the same research group, focused exclusively on women, and were limited to specific geographical regions, primarily Italy. Conclusion: While preliminary results suggest that VR is a promising tool for treating BI disturbances in individuals with obesity, the field remains under-researched. Notably, no studies have explored VR's potential as an assessment tool in this population. Future studies should include more diverse populations, investigate long-term outcomes, and explore potential barriers to clinical implementation. © 2025 The Author(s). Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.},

keywords = {adult, Anxiety disorder, Assertiveness, Bariatric Surgery, body dysmorphic disorder, body image, body image assessment, body image avoidance questionnaire, body image disturbances, body satisfaction scale, bulimia, Clinical research, cognitive behavioral therapy, cognitive therapy, Depression, electroconvulsive therapy, exercise, feeding behavior, female, follow up, gastric banding, geography, group therapy, human, Humans, Italy, low calorie diet, male, obesity, overnutrition, physical activity, procedures, psychology, psychotherapy, quality of life, review, social background, systematic review, Therapy, Three-Factor-Eating-Questionnaire, training, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@article{blaisConductingOnlineVisual2025a,

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/pages/publications/105004807446?origin=resultslist},

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)},

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}

}

@article{blaisConductingOnlineVisual2025b,

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=6f27d81d289529b733b5aa0b03634f27},

doi = {10.1016/j.visres.2025.108617},

issn = {00426989 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Vision Research},

volume = {233},

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)},

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}

}

@article{blaisConductingOnlineVisual2025,

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)},

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}

}