A5016258947- Air Traffic Management and Optimization
- Human-Automation Interaction and Safety
- EEG and Brain-Computer Interfaces
- Aerospace and Aviation Technology
- Explainable Artificial Intelligence (XAI)
- Risk and Safety Analysis
- Sleep and Work-Related Fatigue
- Technology and Human Factors in Education and Health
- Neural and Behavioral Psychology Studies
- Interactive and Immersive Displays
- Simulation Techniques and Applications
- Parasite Biology and Host Interactions
- Enhanced Oil Recovery Techniques
- Scientific Computing and Data Management
- Nitric Oxide and Endothelin Effects
- Aerospace Engineering and Control Systems
- Usability and User Interface Design
- Soil erosion and sediment transport
- Ergonomics and Musculoskeletal Disorders
- Advanced Aircraft Design and Technologies
- Autonomous Vehicle Technology and Safety
- Cognitive Functions and Memory
- Safety Systems Engineering in Autonomy
- Particle Dynamics in Fluid Flows
- Tunneling and Rock Mechanics
Deep Blue (Italy)
2013-2025
Deep River Science Academy
2020-2022
University of Parma
2011
University of Milano-Bicocca
2011
Adaptive Automation (AA) is a promising approach to keep the task workload demand within appropriate levels in order avoid both under- and over-load conditions, hence enhancing overall performance safety of human-machine system. The main issue on use AA how trigger solutions without affecting operative task. In this regard, passive Brain-Computer Interface (pBCI) systems are good candidate activate automation, since they able gather information about covert behavior (e.g., mental workload)...
Air Traffic Management (ATM) will be more complex in the coming decades due to growth and increased complexity of aviation has improved order maintain safety. It is agreed that without significant improvement this domain, safety objectives defined by international organisations cannot achieved a risk incidents/accidents envisaged. Nowadays, computer science plays major role data management decisions made ATM. Nonetheless, despite this, Artificial Intelligence (AI), which one most researched...
Several models defining different types of cognitive human behaviour are available. For this work, we have selected the Skill, Rule and Knowledge (SRK) model proposed by Rasmussen in 1983. This is currently broadly used safety critical domains, such as aviation. Nowadays, there no tools able to assess at which level control operator dealing with considered task, that if he/she performing task an automated routine (skill level), procedures-based activity (rule or a problem-solving process...
In this study, we investigated the possibility to evaluate impact of different avionic technologies on mental workload helicopter's pilots by measuring their brain activity with EEG during a series simulated missions carried out at AgustaWestland facilities in Yeovil (UK). The tested were: i) Head-Up Display (HUD); ii) Head-Mounted (HMD); iii) Full Conformal symbology (FC); iv) Flight Guidance (FG) symbology; v) Synthetic Vision System (SVS); and vi) Radar Obstacles (RO) detection system. It...
Abstract Stress is a word used to describe human reactions emotionally, cognitively and physically challenging experiences. A hallmark of the stress response activation autonomic nervous system, resulting in “fight-freeze-flight” threat from dangerous situation. Consequently, capability objectively assess track controller’s level while dealing with air traffic control (ATC) activities would make it possible better tailor work shift maintain high safety levels, as well preserve operator’s...
Air Traffic Control (ATC) has been classified as the fourth most stressful job. In this regard, sixteen controllers were asked to perform ecological ATC simulation during which behavioral (Radio Communications with pilots - RCs), subjective (stress perception) and neurophysiological signals (brain activity skin conductance SC) collected. All considered parameters reported significant changes under high stress conditions. particular, theta, alpha, beta brain rhythms increased significantly...
Recently, Artificial intelligence (AI) algorithms have received increasable interest in various application domains including Air Transportation Management (ATM). Different AI particular Machine Learning (ML) are used to provide decision support autonomous decision-making tasks the ATM domain e.g., predicting air transportation traffic and optimizing flows. However, most of time these automated systems not accepted or trusted by intended users as decisions provided often opaque,...
According to Human-System Integration analyses, cooperation between humans is one of the most relevant factors in many today's human activities: do not take it into account models working environments highly farfetched. Although Human Factor aspects have obtained much benefit from use neurophysiological signals estimate human-machine interaction, very few are indications about analysis deviating typical laboratory tasks. Among these, some evidence showed that there a relationship mental...
This paper illustrates how parallel & distributed simulation capabilities have been introduced in DEUS, our tool for the analysis of complex systems. Its essential Java API provides basic interfaces and classes modeling nodes, events processes that characterize structure dynamics any system. By supporting simulations across multiple computing DEUS enables large-scale experimental validation has obtained by means a significant system, i.e. large peer-to-peer network.
Teamwork efficiency and safety are inextricably linked. The capability of having online insights access to objective information regarding cognitive emotional aspects the team members using neurophysiological measures (brain activity, skin conductance, heart rate) will endow a tool which can support Instructors during assessment management teams. Such be seen as physical interface that enable for gathering about all relating Human Factors (HFs) operators. study aimed at developing validating...
In this paper we present a novel approach to automation design based on the joint of two different tools, with levels, maturity application domains and users characteristics. We show opportunities challenges brought by Separation Assurance support tools for General Aviation Remotely Piloted Aircraft Systems. propose methodology identifying validating common requirements, thus creating core which forms grounding development dedicated tools.
Abstract To implement Single Pilot Operations (SPO) in commercial aviation, safety levels must be maintained compared to current operations. In this paper we present a concept of operations aiming at supporting flight and landing single-piloted aircraft case the onboard single pilot becomes incapacitated. The relies on Ground Station positions being manned by ground station operators who monitor aircraft, support as needed, take over control incapacitation. was evaluated through number...
Artificial intelligence has the potential to improve air traffic management through consistent use of machine learning. AI can bring benefits controllers in terms workload, situational awareness, trust, and thus operational efficiency safety. However, human problem-solving strategies potentially collide with lead misunderstandings a decrease user acceptance control systems. The proposed paper focuses on design ML system, particular providing insights guidelines derived from results recent...
The EU funded MAHALO Project investigated the effects of transparent and conformal Machine Learning models in support safety-critical time-pressured task Conflict Detection Resolution for en-route Air Traffic Controllers. experimental phase was conducted Italy Sweden, involving 36 Controllers playing simulated Control scenarios. These scenarios were presented through Sector X, an simulator with ecological User Interface based on Maastricht Upper Area Control's Controller Working Position....