@inproceedings{99ffd16305304f9fb31c85e4e65ffba0,
title = "Facial Expression Analysis for Cognitive State Estimation in Aerospace Human-Machine Systems",
abstract = "Growing air traffic and an increasing demand for Unmanned Aircraft System (UAS) services elicit the need for new systems assisting air traffic controllers and UAS operators in performing their tasks in order to manage more aircraft without compromising operational safety. A key challenge is to support One-To-Many (OTM) operations where a single human operator is responsible for command and control of multiple assets. This study focusses on facial expression analysis for cognitive state estimation in a representative OTM scenario. The aim is to support the design of OTM systems and associated Human-Machine Interfaces and Interaction (HMI2), which can dynamically adapt the automation support level as a function of the operator's cognitive states.",
keywords = "Cognitive Workload, Decision Making, Human-Machine Interface, Human-Machine System, UAS Traffic Management",
author = "Federico Rivalta and Nichakorn Pongsakornsathien and Alessandro Gardi and Roberto Sabatini and Trevor Kistan and Neta Ezer",
note = "Funding Information: ACKNOWLEDGMENT The authors wish to thank and acknowledge THALES ATM Australia, and Northrop Grumman Corporation for separately supporting different aspects of this work under the collaborative research projects RE-02544-0200315666 and RE-03163-0200317164 respectively. Publisher Copyright: {\textcopyright} 2020 IEEE.; 1st IEEE International Conference on Human-Machine Systems, ICHMS 2020 ; Conference date: 07-09-2020 Through 09-09-2020",
year = "2020",
month = sep,
doi = "10.1109/ICHMS49158.2020.9209443",
language = "British English",
series = "Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Giancarlo Fortino and Fei-Yue Wang and Andreas Nurnberger and David Kaber and Rino Falcone and David Mendonca and Zhiwen Yu and Antonio Guerrieri",
booktitle = "Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020",
address = "United States",
}