Citizen Science / Case Studies

Stakeholder-driven validation through in-lab experimentation and in-the-wild case studies.

EXCALIBUR follows a citizen-science-inspired approach to ensure continuous feedback and real-world relevance. Our validation strategy combines rigorous in-lab evaluation with meaningful stakeholder engagement.

In-Lab Evaluation

Controlled experimentation using baseline AI models built on public wearable datasets for method development and fine-tuning.

  • Public wearable datasets
  • Baseline AI models
  • Controlled conditions
  • Method fine-tuning

In-the-Wild Studies

Real-world case studies involving non-expert stakeholders through iterative evaluation rounds.

  • Non-expert stakeholders
  • Usability assessment
  • Trust & clarity evaluation
  • Iterative feedback loops

Evaluation Criteria

Usability

Ease of use and accessibility

Trust

Confidence in AI outputs

Clarity

Understandable explanations

Impact

Real-world usefulness

Get Involved

Interested in participating in our case studies? We're looking for stakeholders to help validate our explainability and fairness tools. Sign up to be notified about upcoming opportunities.

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