- EEG and Brain-Computer Interfaces
- Human-Automation Interaction and Safety
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Cognitive Functions and Memory
- Neural Networks and Applications
- Technology and Human Factors in Education and Health
- Tactile and Sensory Interactions
- Safety Warnings and Signage
- Occupational Health and Safety Research
- Healthcare Technology and Patient Monitoring
- ERP Systems Implementation and Impact
- Gaze Tracking and Assistive Technology
- Heart Rate Variability and Autonomic Control
- Mind wandering and attention
- Motor Control and Adaptation
- Neural dynamics and brain function
- Cognitive Abilities and Testing
- Advanced Memory and Neural Computing
- Action Observation and Synchronization
- Simulation Techniques and Applications
- Anomaly Detection Techniques and Applications
- Software Reliability and Analysis Research
Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO)
2020-2024
Office National d'Études et de Recherches Aérospatiales
2016-2024
Centre National de la Recherche Scientifique
2017-2022
Université de Toulouse
2021-2022
Université Grenoble Alpes
2017-2022
Université Savoie Mont Blanc
2022
Institut de Mathématiques de Toulouse
2021-2022
Unilever (United Kingdom)
2021
Université Toulouse III - Paul Sabatier
2021
Laboratoire de Psychologie et NeuroCognition
2017-2018
Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations, guidelines that help scientists produce work is of the highest quality at any given time, efficiently share with community for further scrutiny or utilization. For experimental research using magneto- electroencephalography (MEEG), GSP includes specific standards technical competence, which are periodically updated adapted new findings. However, also needs be regularly revisited in a broader light. At...
Brain-Computer Interfaces and especially passive interfaces (pBCI), with their ability to estimate monitor user mental states, are receiving increasing attention from both the fundamental research applied development communities. Testing new pipelines benchmarking classifiers feature extraction algorithms is central further within this domain. Unfortunately, data sharing in pBCI still scarce. The COG-BCI database encompasses recordings of 29 participants over 3 separate sessions 4 different...
The N2pc is widely employed as an electrophysiological marker of attention allocation. This interpretation was largely driven by the observation elicited isolated relevant target object, which reported Experiment 2 in Eimer (1996). All subsequent refined interpretations had to take this crucial finding into account. Despite its central role for neurocognitive research, there have been no direct replications and only few conceptual seminal work. Within context #EEGManyLabs, international...
As is the case in several research domains, data sharing still scarce field of Brain-Computer Interfaces (BCI), and particularly that passive BCIs— i.e ., systems enable implicit interaction or task adaptation based on a user's mental state(s) estimated from brain measures. Moreover, this currently hindered by major challenge, which tackling signal variability such as cross-session variability. Hence, with view to develop good practices whole community join forces working estimation, we...
Transfer from experiments in the laboratory to real-life tasks is challenging due notably inability reproduce complexity of multitasking dynamic everyday life situations a standardized lab condition and bulkiness invasiveness recording systems preventing participants moving freely disturbing environment. In this study, we used motion flight simulator induce inattentional deafness auditory alarms, cognitive difficulty arising complex environments. addition, assessed possibility two...
Good Scientific Practice (GSP) refers to both explicit and implicit rules or guidelines that help scientists produce work is of the highest quality at any given time, efficiently share with community for further scrutiny utilization. For experimental research using magneto- electroencephalography (MEEG), GSP includes specific standards technical competence, which are periodically updated whenever new findings come light. However, also needs be revisited in a broader At LiveMEEG 2020...
The existing literature on Mental Workload (MWL) has aimed at understanding processes involved in MWL and their measurements. In addition to subjective behavioral measures, physiological measurements shown promising perspectives with respect workload evaluation. However, heterogeneity reveals that the identification of reliable markers, as well dependencies co-variations, is still lacking. present study aims identifying objective (neuro)physiological markers standardized associated varying...
With the advent of open science, a growing number researchers have been sharing their datasets and processing methods. Yet not all fields are concerned some still lack databases which would enable faster, more relevant research, importantly favour replicability reproducibility results. This is particularly true for field brain-computer interfaces, most especially that relatively new passive interfaces. article provides an overview currently available interface applications based on...
This study aims at investigating the neural and physiological correlates of human-human human-AI interactions under ecological settings. We designed a scenario in which ground controller had to guide his/her pilot reach location. also implemented Controller-Bot Pilot-Bot using AI techniques behave like real human operators. The cooperation between controllers pilots were either genuine ('Coop scenarios' – four missions), explicitly notified as pilot-Bot controller-Bot ('No coop two or with...
Abstract In high-risk environments, fast and accurate responses to warning systems are essential efficiently handle emergency situations. The aim of the present study was twofold: 1) investigating whether hand action videos (i.e., gesture alarms) trigger faster more than text alarm messages written alarms), especially when mental workload (MWL) is high; 2) brain activity in response both types alarms as a function MWL. Regardless MWL, participants (N = 28) were found be responding alarms....
Supervision of automated systems is an ubiquitous aspect most our everyday life activities which even more necessary in high risk industries (aeronautics, power plants, etc.). Performance monitoring related to own error making has been widely studied. Here we propose assess the neurofunctional correlates system detection. We used aviation-based conflict avoidance simulator with a 40% error-rate and recorded electroencephalographic activity participants while they were supervising it. Neural...
Transfer from experiments in the laboratory to real-life tasks is challenging due notably inability reproduce complexity of multitasking dynamic everyday life situations a standardized lab condition and bulkiness invasiveness recording systems preventing participants moving freely disturbing environment. In this study, we used motion flight simulator induce inattentional deafness auditory alarms, cognitive difficulty arising complex environments. addition, assessed possibility two...