Conference scope

The ICCAS 2020 conference aims to promote the dissemination and exchange of scientific information on the next generation of civil and military aircraft. It provides an excellent forum for combining academic research and industrial works to examine how we can develop intelligent aeronautical systems owning more freedom of choice, sensitivity to the context, learning capabilities, and able to interact naturally with the crew while saving its mental and physical resources.

Recent trends in this field address several major aspects such as the online monitoring of the flight performances based on behavioral, physiological, and neurological measurements, the design of more ecological man-machine interfaces providing intuitive information about the flight to support decision process, and architecture rules that guarantee a high level of flight safety. The conference addresses a wide spectrum of theoretical and practical topics related to neuroergonomics and human factors, artificial intelligence or systems engineering. It is mainly focused on aeronautics but contributions from a wide range of domains such as automotive, robots, drones, or artificial agents are welcome.

To participate to the conference, please go to the official conference website : https://events.isae-supaero.fr/e/ICCAS-2020

Topics of interest include, but are not limited to :

• Neuroergonomics and human factors
  • Eye tracking, EEG, fNIRS, other measurement methods
  • Brain computer interfaces
  • Mental workload, acute stress, emotion, fatigue
  • Simulation, virtual reality
  • Training

• Human-Machine Interaction
  • Multimodal interaction
  • Innovative warning systems, countermeasures
  • Ecological interface design, augmented reality
  • Intelligent assistants, virtual assistants
  • Sensors and adaptive systems

• Autonomous vehicles and Automation
  • Single pilot operations
  • Remote control of automated vehicles
  • Unmanned vehicles
  • Man-machine cooperative techniques
  • Ethical aspects

• Artificial intelligence
  • Transparent AI, natural human-machine interaction
  • Mixed-initiative planning
  • Model-based architecture design, task scheduling
  • Fault tolerant distributed algorithms

• Systems Engineering
  • Safety analysis
  • Model-based architecture design
  • Cooperative techniques
  • Modeling and simulation