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Raphaëlle N. Roy

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2020 – today

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2024
[c25]
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Maëlis Lefebvre, Thomas Doppia, Agnès Doué, Raphaëlle N. Roy, Vsevolod Peysakhovich:
Impact of Body Movement and Teleoperation Interface on Operator's Performance. HRI (Companion) 2024: 659-663
[c24]
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Mathias Rihet, Aurélie Clodic, Raphaëlle N. Roy:
Robot Noise: Impact on Electrophysiological Measurements and Recommendations. HRI (Companion) 2024: 888-891
[c23]
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Marcel F. Hinss, Vincenzo Maria Vitale, Nhat Tien Phan, Raphaëlle N. Roy, Anke M. Brock:
UASOS: An Experimental Environment for Assessing Mental Fatigue & Cognitive Flexibility during Drone Operations. HRI 2024: 906-909
2022
[b1]
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Raphaëlle N. Roy:
Neuroergonomics and physiological computing contributions to human-machine interaction. Paul Sabatier University, Toulouse, France, 2022
[c22]
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Gaganpreet Singh, Raphaëlle N. Roy, Caroline P. C. Chanel:
POMDP-Based Adaptive Interaction Through Physiological Computing. HHAI 2022: 32-45
2021
[c21]
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Eishi Kim, Vsevolod Peysakhovich, Raphaëlle N. Roy:
Impact of communication delay and temporal sensitivity on perceived workload and teleoperation performance. SAP 2021: 4:1-4:8
[c20]
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Xiaoqi Xu, Nicolas Drougard, Raphaëlle N. Roy:
Dimensionality Reduction via the Laplace-Beltrami Operator: Application to EEG-based BCI. NER 2021: 347-350
[c19]
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Marcel F. Hinss, Bertille Somon, Frédéric Dehais, Raphaëlle N. Roy:
Open EEG Datasets for Passive Brain-Computer Interface Applications: Lacks and Perspectives. NER 2021: 686-689
[c18]
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Maria-Isabel Casso, Camille Jeunet, Raphaëlle N. Roy:
Heading for motor imagery brain-computer interfaces (MI-BCIs) usable out-of-the-lab: Impact of dry electrode setup on classification accuracy. NER 2021: 690-693
[c17]
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Frédéric Dehais, G. Vergotte, Nicolas Drougard, G. Ferraro, Bertille Somon, Caroline Ponzoni Carvalho Chanel, Raphaëlle N. Roy:
AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study. SMC 2021: 3380-3385
2020
[j6]
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  - journals/robotics/RoyDGDC20
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Raphaëlle N. Roy, Nicolas Drougard, Thibault Gateau, Frédéric Dehais, Caroline P. C. Chanel:
How Can Physiological Computing Benefit Human-Robot Interaction? Robotics 9(4): 100 (2020)
[j5]
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Caroline P. Carvalho Chanel, Raphaëlle N. Roy, Frédéric Dehais, Nicolas Drougard:
Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction. Sensors 20(1): 296 (2020)
[j4]
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Kevin J. Verdière, Mélisande Albert, Frédéric Dehais, Raphaëlle N. Roy:
Physiological Synchrony Revealed by Delayed Coincidence Count: Application to a Cooperative Complex Environment. IEEE Trans. Hum. Mach. Syst. 50(5): 395-404 (2020)
[c16]
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Caroline P. C. Chanel, Raphaëlle N. Roy, Nicolas Drougard, Frédéric Dehais:
Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework. HCI (7) 2020: 117-133
[c15]
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Raphaëlle N. Roy, Kevin J. Verdière, Frédéric Dehais:
EEG Covariance-Based Estimation of Cooperative States in Teammates. HCI (34) 2020: 383-393

2010 – 2019

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2019
[j3]
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Frédéric Dehais, Alban Duprès, Sarah Blum, Nicolas Drougard, Sébastien Scannella, Raphaëlle N. Roy, Fabien Lotte:
Monitoring Pilot's Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions. Sensors 19(6): 1324 (2019)
[c14]
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Gaganpreet Singh, Raphaëlle N. Roy, Caroline P. Carvalho Chanel:
Towards Multi-UAV and Human Interaction Driving System Exploiting Human Mental State Estimation. BIOINFORMATICS 2019: 294-301
[c13]
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Kevin J. Verdiere, Frédéric Dehais, Raphaëlle N. Roy:
Spectral EEG-based classification for operator dyads' workload and cooperation level estimation. SMC 2019: 3919-3924
[c12]
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Frédéric Dehais, Imad Rida, Raphaëlle N. Roy, John R. Iversen, Tim R. Mullen, Daniel E. Callan:
A pBCI to Predict Attentional Error Before it Happens in Real Flight Conditions. SMC 2019: 4155-4160
2018
[c11]
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Chad L. Stephens, Frédéric Dehais, Raphaëlle N. Roy, Angela R. Harrivel, Mary Carolyn Last, Kellie D. Kennedy, Alan T. Pope:
Biocybernetic Adaptation Strategies: Machine Awareness of Human Engagement for Improved Operational Performance. HCI (15) 2018: 89-98
[c10]
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Frédéric Dehais, Alban Duprès, Gianluca Di Flumeri, Kevin J. Verdiere, Gianluca Borghini, Fabio Babiloni, Raphaëlle N. Roy:
Monitoring Pilot's Cognitive Fatigue with Engagement Features in Simulated and Actual Flight Conditions Using an Hybrid fNIRS-EEG Passive BCI. SMC 2018: 544-549
2017
[c9]
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Frédéric Dehais, Raphaëlle N. Roy, Gautier Durantin, Thibault Gateau, Daniel E. Callan:
EEG-Engagement Index and Auditory Alarm Misperception: An Inattentional Deafness Study in Actual Flight Condition. AHFE (2) 2017: 227-234
[c8]
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Mehdi Senoussi, Kevin J. Verdiere, Angela Bovo, Caroline P. Carvalho Chanel, Frédéric Dehais, Raphaëlle N. Roy:
Pre-stimulus antero-posterior EEG connectivity predicts performance in a UAV monitoring task. SMC 2017: 1167-1172
2016
[j2]
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Sylvie Charbonnier, Raphaëlle N. Roy, Stéphane Bonnet, Aurélie Campagne:
EEG index for control operators' mental fatigue monitoring using interactions between brain regions. Expert Syst. Appl. 52: 91-98 (2016)
[c7]
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Sylvie Charbonnier, Raphaëlle N. Roy, Radka Dolezalová, Aurélie Campagne, Stéphane Bonnet:
Estimation of Working Memory Load using EEG Connectivity Measures. BIOSIGNALS 2016: 122-128
[c6]
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Frédéric Dehais, Raphaëlle N. Roy, Thibault Gateau, Sébastien Scannella:
Auditory Alarm Misperception in the Cockpit: An EEG Study of Inattentional Deafness. HCI (13) 2016: 177-187
2015
[c5]
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Raphaëlle N. Roy, Stéphane Bonnet, Sylvie Charbonnier, Pierre Jallon, Aurélie Campagne:
A comparison of ERP spatial filtering methods for optimal mental workload estimation. EMBC 2015: 7254-7257
[c4]
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Raphaëlle N. Roy, Stéphane Bonnet, Sylvie Charbonnier, Aurélie Campagne:
Enhancing single-trial mental workload estimation through xDAWN spatial filtering. NER 2015: 360-363
[c3]
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  - conf/phycs/RoyBBPCGC15
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Raphaëlle N. Roy, A. Breust, Stéphane Bonnet, Jean Porcherot, Sylvie Charbonnier, Christelle Godin, Aurélie Campagne:
Influence of Workload on Auditory Evoked Potentials in a Single-stimulus Paradigm. PhyCS 2015: 104-111
2014
[j1]
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  - journals/bspc/RoyCB14
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Raphaëlle N. Roy, Sylvie Charbonnier, Stéphane Bonnet:
Eye blink characterization from frontal EEG electrodes using source separation and pattern recognition algorithms. Biomed. Signal Process. Control. 14: 256-264 (2014)
2013
[c2]
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  - conf/embc/RoyBCC13
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Raphaëlle N. Roy, Stéphane Bonnet, Sylvie Charbonnier, Aurélie Campagne:
Mental fatigue and working memory load estimation: Interaction and implications for EEG-based passive BCI. EMBC 2013: 6607-6610
[c1]
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Raphaëlle N. Roy, Sylvie Charbonnier, Aurélie Campagne:
Probing ECG-based mental state monitoring on short time segments. EMBC 2013: 6611-6614

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