Delivery of the state-of-the-art review, documented in D2.2 - OSED.
Delivery of the CODA concept and definition of use cases, documented in D2.2 - OSED.
Delivery of the CODA functional requirements and future roles, documented in D2.1 - FRD.
The first version of the task prediction model (v1), including its architecture, requirements, implementation, and validation has been completed.
Creation of the mental state prediction model with its architecture and requirements. The outcome is being reported in D3.2.
Regarding Models validation, Scenarios and data gathering methods have been defined, exercise scenarios have been modelled within the ESCAPE platform, initial data gathering methods (questionnaires, devices, CWP) have been prepared, data outputs analised, and software developed.
Delivery of the CODA Indexes identification, documented in D4.1 - Indexes description and integration with prediction models.
Wearable and reliable devices for the Validation activities have been identified and the CODA sensor selection and development documented in D4.1 - Indexes description and integration with prediction models.
The HMPE based on mental states, human-machine teaming, and ATCO’s performance have been defined ands documented in the D4.1 - Indexes description and integration with prediction models
Adaptation strategy guidelines have been integrated into D5.1: Adaptation and Human-AI Interaction Strategy and Teaming Playbook.
The content of the guidelines and HMI have been integrated in Deliverable 5.1—Adaptation and Human-AI Interaction Strategy and Teaming Playbook.
Initial data sources, including user activity, situation complexity, and aeronautical information, have been identified. The team has begun scenario building and conducted initial workshops, applying user-centric principles to iterate on low-fidelity prototypes
Initial drafts of the Human-AI Teaming Playbook have been produced, outlining different LOAs and defining how authority and responsibilities can be shared between human operators and AI systems. Exploring pre-set behaviours and goal-based control methodologies has begun, and preliminary feedback from stakeholders has been incorporated.
Data aggregation has started, and efforts are in progress to define communication protocols and consistency checks. Cognitive models are being integrated into the ESCAPE platform (WP3).
The validation plan has been generated. A first exercise (a workshop with relevant stakeholders) has been carried out to validate the CODA concept
