CV

Education

• 2018-now - PhD student, University of Fribourg (Switzerland)
• 2016-2017 - Master of Science in Embedded Systems and Robotics, University of Salford (Manchester, England)
• 2014-2017 - Master of Engineering, Ecole Supérieure des Technologies Industrielles Avancées (ESTIA; Bidart, France)
• 2012-2014 - Preparatory class, Physics and Technology option, Lycée Jacques de Vaucanson (Tours, France)
• 2009-2012 - Scientific Baccalauréat, Engineering option, with honors, Lycée Jacques de Vaucanson (Tours, France)

Work experience

• February 2018 - now: HumanTech Institute - Fribourg (Switzerland)
  • Scientific collaborator and teaching assistant
  • AdVitam project : Adaptive Driver-Vehicle Interaction to make future driving safer
• June - November 2017: Thales Communications & Security - Gennevilliers (France)
  • Porting and evolution of a Graphical User Interface (GUI) on a naval radio
  • Secured Linux environment - Programming in Python - Use of Raspberry Pi - I2C
• May - August 2015: Farman - Joué-Lès-Tours (France)
  • Work in a production workshop - CAD drawing in a mechanical design team
  • Configuration and integration of robotic cells in the automation and robotics design office
• February - April 2015: Schneider Electric - Lattes (France)
  • Programming of a Graphical User Interface (GUI) for a configuration tool in C#.

Study projects

• January - May 2017: University of Salford (England)
  • Localisation of an autonomous wheelchair - Embedded systems & Robotics
  • Robotisation of the wheelchair - Programmaming in Java - Kalman filtering
• September - December 2016: University of Salford (England)
  • Implementation of a tracking system - Embedded systems & Robotics
  • Tracking a person thanks to a thermal camera and IR sensors
  • Microcontroller - Programming in C and Java - Artificial Intelligence (AI)

Skills

• Languages :
  • French (mothertongue)
  • English (C1, TOEIC: 860)
  • Spanish (B2)
  • German (A1)
• Physiology : processing of data and indicators
• Coding : Python, Java, C#, C, JavaScript, NodeJS, HTML/CSS
• Artificial Intelligence : Machine Learning and Deep Learning
• Project Management
• Psychology
  • Experimental manipulation
  • Setting up an experiment : procedure, material and questionnaire
  • Data analysis : SPSS or R
• Embedded systems : Arduino
• Game design in Unity
• Human Machine Interaction : VR and AR

Publications

Workshop on explainable AI in automated driving: a user-centered interaction approach

Quentin Meteier, Marine Capallera, Leonardo Angelini, Elena Mugellini, Omar Abou Khaled, Stefano Carrino, Emmanuel De Salis, Stéphane Galland, and Susanne Boll. 2019. Workshop on explainable AI in automated driving: a user-centered interaction approach. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (AutomotiveUI 19). Association for Computing Machinery, New York, NY, USA, 32–37.

Owner Manuals Review and Taxonomy of ADAS Limitations in Partially Automated Vehicles

Marine Capallera, Quentin Meteier, Emmanuel de Salis, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, and Elena Mugellini. 2019. Owner Manuals Review and Taxonomy of ADAS Limitations in Partially Automated Vehicles. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 19). Association for Computing Machinery, New York, NY, USA, 156–164. DOI:https://doi.org/10.1145/3342197.3344530.

Secondary task and situation awareness, a mobile application for conditionally automated vehicles

Marine Capallera, Emmanuel de Salis, Quentin Meteier, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, and Elena Mugellini. 2019. Secondary task and situation awareness, a mobile application for conditionally automated vehicles. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (AutomotiveUI 19). Association for Computing Machinery, New York, NY, USA, 86–92. DOI:https://doi.org/10.1145/3349263.3351500

Secondary task and situation awareness, a mobile application for semi-autonomous vehicle

Marine Capallera, Quentin Meteier, Emmanuel de Salis, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, and Elena Mugellini. 2019. Secondary task and situation awareness, a mobile application for semi-autonomous vehicle. In Proceedings of the 31st Conference on l Interaction Homme-Machine (IHM 19). Association for Computing Machinery, New York, NY, USA, Article 12, 1–10.

Designing an AI-Companion to Support the Driver in Highly Autonomous Cars

de Salis E. et al. (2020) Designing an AI-Companion to Support the Driver in Highly Autonomous Cars. In: Kurosu M. (eds) Human-Computer Interaction. Multimodal and Natural Interaction. HCII 2020. Lecture Notes in Computer Science, vol 12182. Springer, Cham.

The Effect of Instructions and Context-Related Information about Limitations of Conditionally Automated Vehicles on Situation Awareness

Quentin Meteier, Marine Capallera, Emmanuel de Salis, Andreas Sonderegger, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, and Elena Mugellini. 2020. The Effect of Instructions and Context-Related Information about Limitations of Conditionally Automated Vehicles on Situation Awareness. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 20). Association for Computing Machinery, New York, NY, USA, 241–251. DOI:https://doi.org/10.1145/3409120.3410649

Cyber-Therapy: The Use of Artificial Intelligence in Psychological Practice

Lucifora C. et al. (2021) Cyber-Therapy: The Use of Artificial Intelligence in Psychological Practice. In: Russo D., Ahram T., Karwowski W., Di Bucchianico G., Taiar R. (eds) Intelligent Human Systems Integration 2021. IHSI 2021. Advances in Intelligent Systems and Computing, vol 1322. Springer, Cham. https://doi.org/10.1007/978-3-030-68017-6_19

Predicting Takeover Quality in Conditionally Automated Vehicles Using Machine Learning and Genetic Algorithms

de Salis E. et al. (2021) Predicting Takeover Quality in Conditionally Automated Vehicles Using Machine Learning and Genetic Algorithms. In: Russo D., Ahram T., Karwowski W., Di Bucchianico G., Taiar R. (eds) Intelligent Human Systems Integration 2021. IHSI 2021. Advances in Intelligent Systems and Computing, vol 1322. Springer, Cham. https://doi.org/10.1007/978-3-030-68017-6_13

Classification of Drivers Workload Using Physiological Signals in Conditional Automation

Meteier Q, Capallera M, Ruffieux S, Angelini L, Abou Khaled O, Mugellini E, Widmer M and Sonderegger A (2021). Classification of Drivers’ Workload Using Physiological Signals in Conditional Automation. Front. Psychol. 12:596038. doi: 10.3389/fpsyg.2021.596038

Talks

The influence of a passenger and meditation before driving on driving behaviour and emotions – a simulator study

October 09, 2018

Talk at Human Factors and Ergonomics Society - Europe Chapter, Berlin, Germany

The usefulness of physiological data as indicator for situation awareness in semi-autonomous driving

October 04, 2019

Poster presentation at Human Factors and Ergonomics Society - Europe Chapter, Nantes, France

Inside the cockpit of the semi-autonomous cars of tomorrow

November 05, 2020

2 talks (with videos) at Gamification and Serious Game Symposium 2020, Neuchâtel, Switzerland (online)

Teaching

Software Engineering 2

Information systems

Information systems 2

Advanced Interfaces and Wearable Devices

Data management

Hobbies

• Football, Music and TV shows