Raphaëlle Roy

Associate Professor

ISAE-SUPAERO

France

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Raphaëlle Roy is an Associate Professor at ISAE-SUPAERO in France. Her research interests focus on the intersections of neuroergonomics, cognitive psychology, and human-computer interaction, with recent publications examining topics such as teleoperation in virtual reality, workload assessment in flight scenarios, and brain-computer interface methodologies. She is dedicated to advancing understanding of cognitive flexibility and the effects of human-machine interaction on mental state adaptation.

Articles (14)

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2025

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2025

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2025

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2024

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2023

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2022

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2020

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2020

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2020

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2020

Collaborators (6)

Anke Brock

Assistant Professor

École Nationale de l'Aviation Civile

FRANCE

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Christopher Wickens

UNITED STATES

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Max Louwerse

Tilburg University

NETHERLANDS

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Maryam Alimardani

Tilburg University

NETHERLANDS

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Mathias Vukelić

Head of Department

Fraunhofer Institute for Industrial Engineering

GERMANY

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Travis Wiltshire

Tilburg University

NETHERLANDS

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Raphaëlle Roy

Research Interests

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About

Articles (14)

Spatial Compatibility and Intersensory Conflicts in Teleoperation: Impact on Object Orientation Control in Virtual Reality

Assessment of individual and dyadic workload of student and instructor pilots in real and simulated flight: An exploratory study

Optimizing multimodal alarms to mitigate inattentional blindness in air traffic control

Does topological data analysis work for EEG-based brain–computer interfaces?

Editorial: Open science to support replicability in neuroergonomic research

Double task switching: An investigation into the effects of similarity and task-rule congruency on cognitive flexibility

The double task-switching protocol: An investigation into the effects of similarity and conflict on cognitive flexibility in the context of mental fatigue

Signature methods for brain-computer interfaces

Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications

Cognitive effects of prolonged continuous human-machine interaction: The case for mental state-based adaptive interfaces

How Can Physiological Computing Benefit Human-Robot Interaction?

Physiological Synchrony Revealed by Delayed Coincidence Count: Application to a Cooperative Complex Environment

A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance

Towards Mixed-Initiative Human–Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction

Collaborators (6)

Anke Brock

Christopher Wickens

Max Louwerse

Maryam Alimardani

Mathias Vukelić

Travis Wiltshire

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