FlexTech HAT-HSI-2024 International Spring school is intended to optimize learning exchanges among participants and lecturers throughout three days.
Lectures on HAT-HSI fundamentals will be given by internationally-recognized research scientists and engineers (1 hour + 30 min Q&A, for each lecture)
Three concrete use-case sessions will provide enhanced understanding of the operationalization of human systems integration in increasingly autonomous systems.
Discussions and mentoring will be encouraged with all lecturers throughout the three days during long breaks, lunches, and dinners).
FlexTech HAT-HSI-2024 International Spring School starts now!
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More specifically, you could submit a topic of interest for discussions during the three days.
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Lectures and Use Cases
Feedback and Contributions
Schedule
Tuesday 28 May
Program
From 15:00 to 21:00: Onsite arrival and Welcome - All Participants.
Wednesday 29 May
08:00: Registration - All Participants
08:30-08:40: Welcome address - Patxi Elissalde, Director of ESTIA Institute of Technology
08:40-10:10: Human-AI Teaming: A Human Systems Integration Approach
Introduction to the Spring School: Prof. Guy André Boy
10:10-10:40: Coffee Break
10:40-12:10: AI4SE & SE4AI (Artificial Intelligence for Systems Engineering / Systems Engineering for
Artificial Intelligence) - Dr. Tom McDermott
12:10-13:30: Lunch Break
13:30-15:00: Supporting Human-AI Teams: Transparency, Explainability, and SA - Dr. Mica Endsley
15:00-15:05: Short introduction of IngeScape Circle as a support for HAT's HSI use-cases
15:05-15:30: Coffee Break
15:30-17:30: Use-Case Session 1 - Problem Stating of use-cases in four industrial sectors (4 groups):
Group 1: Remote Virtual Tower
Group 2: Oil & Gas Robotics
Group 3: Rail Automation
Group 4: Air Combat System
18:00-20:00: Welcome cocktail at ESTIA Institute of Technology (a bus will be orgainzed)
Thursday 30 May
08:00: Welcome - All Participants
08:30-10:00: Organizational issues in Human-AI teaming:
Governance and uncertainty management - Prof. Gudela Grote
10:00-10:30: Coffee Break
10:30-12:00: Ingescape Circle & PRODEC - Stéphane Vales & Prof. Guy André Boy
12:00-13:30: Lunch Break
13:30-15:00: Human-Technology Symbiosis in Smart Environments
Empowered by Participatory Design and Co-Creation - Dr. Dr. Norbert Streitz
15:00-15:30: Coffee Break
15:30-17:30: Use-Case Session 2 - Problem Solving of the four use-cases (Groups)
17:30-20:00: Free Time
20:00-22:00: Banquet Dinner
Friday 31 May
08:00: Welcome - All Participants
08:30-10:30: HAT in Space Exploration - Dr. So Young Kim
10:30-10:45: Coffee Break
10:45-12:15: Use-Case Session 3 - Short stand-up presentations of the four groups & Discussions
12:15-13:45: Lunch Break
13:45-15:00: Panel - HAT-HSI: What are the perspectives? - All Lecturers
15:00-16:00: Wrap-up & Perspectives - Prof. Guy André Boy
Use cases
Remote Virtual Tower
This use case aims to study the contribution that digitalization can make to the air traffic control tower through technologies enabling Human-Systems collaboration, such as artificial intelligence (AI) and systems engineering, digital twins (DN), and augmented reality (AR), to propose a new system of systems dedicated to “tower” control, enabling a reduction in operator workload and logistical constraints.
Oil & Gas Robotics
The main question for this use case is: How can we replace safely, efficiently, and comfortably human inspection of and restart an oil platform with a robotic equivalent remotely managed? Therefore, how can an inspection robot, or a fleet of mobile robots, be used to perform a check (verify the integrity of the platform) and restart the platform remotely? Research questions are the following: (1) situation awareness, (2) acceptability, and (3) decision-making. An HSI scenario-based design approach will be taken.
Rail Automation
New rail transport solutions are targeted to be increasingly autonomous, connected, and green. Introducing these new technologies profoundly impacts operators' organization, processes, and roles. It is, therefore, essential to guarantee the safety levels of rail operations. For example, automating specific tasks and activities will represent a breakthrough for the rail system. We will consider the challenges of emergent human factors in implementing this change successfully. Indeed, train automation questions the driver's tasks, which will evolve according to the systems' degree of autonomy.
Air Combat System
The purpose of this use case is to propose a method for evaluating the performance of virtual assistant pilot teaming in the cockpit of a simulated combat aircraft through trust and collaboration models and metrics (these will have to be discussed and validated with a combat pilot), Indicators will be defined based on operational experience. A tangible virtual prototype will be presented and discussed.