D3.7 – D3.9 RAYUELA interactive adventures
These reports will provide the design of the storyline for interactive adventures, which will be implemented and released in three versions.
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D4.1/D4.2 Data protection report
D4.1: The initial annotated presentation addressed to RAYUELA partners on how to apply correctly the provisions of the GDPR during the action. D4.2: Report assessing the implementation of the GDPR in the RAYUELA action reporting on the lessons learned.
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D4.3 RAYUELA data protection handbook
Detailed instructions and forms to be used by relevant RAYUELA partners when processing personal data in the context of the action.
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D4.4 Data protection assessment report
Report assessing the implementation of the GDPR when using serious games involving minors.
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D4.6/ D4.7 RAYUELA ethics roadmap
D4.6: Initial annotated presentation addressed to RAYUELA partners on relevant ethics principles to be respected in the action D4.7: Final annotated presentation addressed to RAYUELA partners on relevant ethics principles to be respected in the action.
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D4.8 Ethical code for social research dealing with children and/or young people using serious games
Ethics code of conduct addressed to social researchers dealing with children and/or young people using serious games.
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D5.1 Validation plan and indicator sets
This deliverable will define the evaluation methodologies and tools to be applied to the testing of the RAYUELA solution against the user requirements and landscape specifications compiled in WP1 and 2. The validation plan will also define the iterative validation and refinement approach for the initial prototypes of t...
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D5.2 Recruitment setup and deployment
The subsequent Deliverable 5.2 ‘Recruitment Setup & Deployment’ will describe the mechanisms to recruit end-user according to the inclusion-exclusion criteria for each pilot study. It also details the organization and management of the supervised and unsupervised experimental and control groups, and the deploym...
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D5.3/ D5.4 Supervised testing and real-piloting feedback report
These deliverables will provide the process and feedback collected in the 3 iterative workshops and supervised testing groups with the different stakeholders.
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D6.2 Feature and ML/DL algorithms selection
The report will describe the different Machine learning algorithms designed to analyze the data collected during the RAYUELA project.
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