GHOST: experimenting conflicts countermeasures in the pilot's activity. - Frédéric Dehais; Catherine Tessier; Laurent Chaudron (IJCAI, 2003)

Conflicts in Human Operator - Unmanned Vehicles Interactions. - Frédéric Dehais; Stéphane Mercier; Catherine Tessier (HCI (17), 2009)

The Perseveration Syndrome in the Pilot's Activity: Guidelines and Cognitive Countermeasures. - Frédéric Dehais; Catherine Tessier; Laure Christophe; Florence Reuzeau (HESSD, 2009)

Authority management in human-robot systems. - Stéphane Mercier; Catherine Tessier; Frédéric Dehais (IFAC HMS, 2010)

Détection et résolution de conflits d'autorité dans un système homme-robot. - Stéphane Mercier; Catherine Tessier; Frédéric Dehais (Rev. d'Intelligence Artif., 2010)

Towards human operator "state" assessment. - Sergio Pizziol; Frédéric Dehais; Catherine Tessier (ATACCS, 2011)

Mitigation of Conflicts with Automation: Use of Cognitive Countermeasures. - Frédéric Dehais; Mickaël Causse; Sébastien Tremblay (Hum. Factors, 2011)

Modeling approach to multi-agent system of human and machine agents: Application in design of early experiments for novel aeronautics systems. - Ivan Lacko; Zdenek Moravek; Jan-Patrick Osterloh; Frank Rister; Frédéric Dehais; Sebastien Scannella (INDIN, 2013)

Affective decision making under uncertainty during a plausible aviation task: An fMRI study. - Mickaël Causse; Patrice Péran; Frédéric Dehais; Chiara Falletta Caravasso; Thomas A. Zeffiro; Umberto Sabatini; Josette Pastor (NeuroImage, 2013)

Moving Average Convergence Divergence filter preprocessing for real-time event-related peak activity onset detection : Application to fNIRS signals. - Gautier Durantin; Sebastien Scannella; Thibault Gateau; Arnaud Delorme; Frédéric Dehais (EMBC, 2014)

Failure to Detect Critical Auditory Alerts in the Cockpit: Evidence for Inattentional Deafness. - Frédéric Dehais; Mickaël Causse; François Vachon; Nicolas Regis; Eric Menant; Sébastien Tremblay (Hum. Factors, 2014)

Formal Detection of Attentional Tunneling in Human Operator-Automation Interactions. - Nicolas Regis; Frédéric Dehais; Emmanuel Rachelson; Charles Thooris; Sergio Pizziol; Mickaël Causse; Catherine Tessier (IEEE Trans. Hum. Mach. Syst., 2014)

Action reversibility in human-machine systems. - Sergio Pizziol; Catherine Tessier; Michael Feary; Frédéric Dehais (ATACCS, 2015)

"Automation Surprise" in Aviation: Real-Time Solutions. - Frédéric Dehais; Vsevolod Peysakhovich; Sebastien Scannella; Jennifer Fongue; Thibault Gateau (CHI, 2015)

MOMDP-Based Target Search Mission Taking into Account the Human Operator's Cognitive State. - Paulo Eduardo Ubaldino de Souza; Caroline Ponzoni Carvalho Chanel; Frédéric Dehais (ICTAI, 2015)

Design Requirements to Integrate Eye Trackers in Simulation Environments: Aeronautical Use Case. - Jean-Paul Imbert; Christophe Hurter; Vsevolod Peysakhovich; Colin Blättler; Frédéric Dehais; Cyril Camachon (KES-IDT, 2015)

Auditory Alarm Misperception in the Cockpit: An EEG Study of Inattentional Deafness. - Frédéric Dehais; Raphaëlle N. Roy; Thibault Gateau; Sébastien Scannella (HCI (13), 2016)

Pilot flying vs. pilot monitoring during the approach phase: an eye-tracking study. - Maxime Reynal; Yvanne Colineaux; André Vernay; Frédéric Dehais (HCI-Aero, 2016)

Considering human's non-deterministic behavior and his availability state when designing a collaborative human-robots system. - Thibault Gateau; Caroline Ponzoni Carvalho Chanel; Mai-Huy Le; Frédéric Dehais (IROS, 2016)

Towards human-robot interaction: A framing effect experiment. - Paulo E. U. de Souza; Caroline Ponzoni Carvalho Chanel; Frédéric Dehais; Sidney Givigi (SMC, 2016)

EEG-Engagement Index and Auditory Alarm Misperception: An Inattentional Deafness Study in Actual Flight Condition. - Frédéric Dehais; Raphaëlle N. Roy; Gautier Durantin; Thibault Gateau; Daniel E. Callan (AHFE (2), 2017)

Pre-stimulus antero-posterior EEG connectivity predicts performance in a UAV monitoring task. - Mehdi Senoussi; Kevin J. Verdiere; Angela Bovo; Caroline P. Carvalho Chanel; Frédéric Dehais; Raphaëlle N. Roy (SMC, 2017)

Biocybernetic Adaptation Strategies: Machine Awareness of Human Engagement for Improved Operational Performance. - Chad L. Stephens; Frédéric Dehais; Raphaëlle N. Roy; Angela R. Harrivel; Mary Carolyn Last; Kellie D. Kennedy; Alan T. Pope (HCI (15), 2018)

Monitoring Pilot's Cognitive Fatigue with Engagement Features in Simulated and Actual Flight Conditions Using an Hybrid fNIRS-EEG Passive BCI. - Frédéric Dehais; Alban Duprès; Gianluca Di Flumeri; Kevin J. Verdiere; Gianluca Borghini; Fabio Babiloni; Raphaëlle N. Roy (SMC, 2018)

Assessment of Ocular and Physiological Metrics to Discriminate Flight Phases in Real Light Aircraft. - Sébastien Scannella; Vsevolod Peysakhovich; Florian Ehrig; Evelyne Lepron; Frédéric Dehais (Hum. Factors, 2018)

A pBCI to Predict Attentional Error Before it Happens in Real Flight Conditions. - Frédéric Dehais; Imad Rida; Raphaëlle N. Roy; John R. Iversen; Tim R. Mullen; Daniel E. Callan (SMC, 2019)

Spectral EEG-based classification for operator dyads' workload and cooperation level estimation. - Kevin J. Verdiere; Frédéric Dehais; Raphaëlle N. Roy (SMC, 2019)

Monitoring Pilot's Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions. - Frédéric Dehais; Alban Duprès; Sarah Blum; Nicolas Drougard; Sébastien Scannella; Raphaëlle N. Roy; Fabien Lotte (Sensors, 2019)

A Neuroergonomics Approach to Measure Pilot's Cognitive Incapacitation in the Real World with EEG. - Frédéric Dehais; Bertille Somon; Tim R. Mullen; Daniel E. Callan (AHFE (1), 2020)

Red Alert: A Cognitive Countermeasure to Mitigate Attentional Tunneling. - Julie Saint-Lot; Jean-Paul Imbert; Frédéric Dehais (CHI, 2020)

Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework. - Caroline P. C. Chanel; Raphaëlle N. Roy; Nicolas Drougard; Frédéric Dehais (HCI (7), 2020)

EEG Covariance-Based Estimation of Cooperative States in Teammates. - Raphaëlle N. Roy; Kevin J. Verdière; Frédéric Dehais (HCI (34), 2020)

Predicting Human Operator's Decisions Based on Prospect Theory. - Paulo E. U. de Souza; Caroline P. C. Chanel; Melody Mailliez; Frédéric Dehais (Interact. Comput., 2020)

How Can Physiological Computing Benefit Human-Robot Interaction? - Raphaëlle N. Roy; Nicolas Drougard; Thibault Gateau; Frédéric Dehais; Caroline P. C. Chanel (Robotics, 2020)

Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction. - Caroline P. Carvalho Chanel; Raphaëlle N. Roy; Frédéric Dehais; Nicolas Drougard (Sensors, 2020)

Physiological Synchrony Revealed by Delayed Coincidence Count: Application to a Cooperative Complex Environment. - Kevin J. Verdière; Mélisande Albert; Frédéric Dehais; Raphaëlle N. Roy (IEEE Trans. Hum. Mach. Syst., 2020)

Comparison of Cardiac Activity and Subjective Measures During Virtual Reality and Real Aircraft Flight. - Patrice Labedan; Frédéric Dehais; Vsevolod Peysakhovich (VISIGRAPP (Revised Selected Papers), 2021)

Virtual Reality for Pilot Training: Study of Cardiac Activity. - Patrice Labedan; Nicolas Darodes-de-Tailly; Frédéric Dehais; Vsevolod Peysakhovich (VISIGRAPP (2: HUCAPP), 2021)

Open EEG Datasets for Passive Brain-Computer Interface Applications: Lacks and Perspectives. - Marcel F. Hinss; Bertille Somon; Frédéric Dehais; Raphaëlle N. Roy (NER, 2021)

AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study. - Frédéric Dehais; G. Vergotte; Nicolas Drougard; G. Ferraro; Bertille Somon; Caroline Ponzoni Carvalho Chanel; Raphaëlle N. Roy (SMC, 2021)

Improving user experience of SSVEP-BCI through reduction of stimuli amplitude depth. - Simon Ladouce; Juan Jesús Torre Tresols; Ludovic Darmet; G. Ferraro; Frédéric Dehais (SMC, 2021)

Towards a POMDP-based Control in Hybrid Brain-Computer Interfaces. - Juan Jesús Torre Tresols; Caroline P. C. Chanel; Frédéric Dehais (SMC, 2022)

Capturing Cognitive Events Embedded in the Real World Using Mobile Electroencephalography and Eye-Tracking. - Simon Ladouce; Magda Mustile; Magdalena Ietswaart; Frédéric Dehais (J. Cogn. Neurosci., 2022)

Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience. - Kalou Cabrera Castillos; Simon Ladouce; Ludovic Darmet; Frédéric Dehais (NeuroImage, 2023)

Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface. - Sébastien Velut; Sylvain Chevallier; Marie-Constance Corsi; Frédéric Dehais (ESANN, 2024)

Modeling Complex EEG Data Distribution on the Riemannian Manifold Toward Outlier Detection and Multimodal Classification. - Maria Sayu Yamamoto; Khadijeh Sadatnejad; Toshihisa Tanaka 001; Md. Rabiul Islam 003; Frédéric Dehais; Yuichi Tanaka 001; Fabien Lotte (IEEE Trans. Biomed. Eng., 2024)

POMDP-BCI: A Benchmark of (Re)Active BCI Using POMDP to Issue Commands. - Juan Jesús Torre Tresols; Caroline P. C. Chanel; Frédéric Dehais (IEEE Trans. Biomed. Eng., 2024)

Monitoring pilots' mental workload in real flight conditions using multinomial logistic regression with a ridge estimator. - Muhammad Haseeb; Rashid Nadeem; Nazia Sultana; Noman Naseer; Hammad Nazeer; Frédéric Dehais (Frontiers Robotics AI, 2025)