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The machine as a partner: Human-machine teaming design using the PRODEC method
Guy André Boy1,2, Chloé Morel2
1CentraleSupélec, Paris Saclay University, Gif-sur-Yvette, France.
Work (Reading, Mass.)
|October 10, 2022
Summary
The PRODEC method enhances human-machine teaming (HMT) by integrating human-centered design with AI for sociotechnical systems. It improves performance, trust, and collaboration in complex environments, as validated in aviation.
Area of Science:
- Human-Machine Teaming (HMT)
- Artificial Intelligence (AI)
- Human-Centered Design (HCD)
Background:
- HMT integrates systems engineering, AI, and HCD for human systems integration (HSI).
- An integrative systems representation is key, encapsulating human and machine attributes.
- This approach is crucial for developing advanced sociotechnical systems.
Purpose of the Study:
- To explore factors influencing performance, trust, and collaboration in human-machine teams.
- To introduce and utilize the PRODEC method for agile HCD of sociotechnical systems.
- To support HSI in human-machine teamwork scenarios.
Main Methods:
- PRODEC employs scenario-based design and human-in-the-loop simulation.
- It integrates with the digital twin concept for systemic representation.
- Metrics are developed for evaluating human-machine team performance, trust, and collaboration.
Main Results:
- PRODEC was validated in the MOHICAN project for integrating pilots with virtual assistants in fighter aircraft.
- It enabled the development of metrics for performance, trust, collaboration, and tangibility.
- Identified emergent functions aided in redesigning virtual assistants and pilot training.
Conclusions:
- PRODEC addresses how AI influences sociotechnical system design for human work in uncertain contexts.
- The method is a work in progress, requiring advanced visualization for enhanced tangibility.
- Further development is needed to refine the integration of AI and human-centric design principles.
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