Working Group 1
Meta study on latest knowledge on methodology and scientific evidence
WG1 synthesises published evidence, expert knowledge, clinical uptake and policy conditions to support future XR-based assessment and treatment of spatial neglect.

Led by Céline Gillebert (KU Leuven)
and Gordon Johnson (Kingston College London)
Aims
Working Group 1 aims to bring together current knowledge on extended reality technologies and methods for the assessment and treatment of spatial neglect and related disorders after acquired brain injury. Our work combines four perspectives: published scientific evidence, expertise from researchers and developers, clinical uptake in practice, and policy or implementation conditions across countries. This helps create a shared foundation for the next steps in the Action.
Plan
WG1 is organised into four sub-teams:
- Scientific evidence: We review published studies on XR-based assessment and treatment of spatial neglect. This includes empirical evidence on diagnostic accuracy, reliability, validity, effectiveness, feasibility, usability and methodological quality. In addition, we will perform a broader mapping of XR tools and design features, including software, hardware, interaction methods and outcome measures.
- Scientific expertise: We collect insights from researchers and developers who have worked on XR tools for spatial neglect. This helps capture lessons learned, technical challenges and implementation barriers that are not always visible in publications.
- Clinical uptake and implementation: We map how XR technologies are currently used in clinical neurorehabilitation across COST countries. This includes clinicians’ awareness, experience, training needs and perceived barriers to implementation
- Policy and implementation landscape:
We explore the policy and regulatory context for using XR technologies in clinical practice across Europe. This will help identify structural barriers and enablers for future implementation and scale-up.
Get Involved
WG1 welcomes researchers, clinicians, developers, implementation experts, policy experts and early-career researchers interested in XR-based neurorehabilitation. Members can contribute to reviews, surveys, interviews, data extraction, synthesis, writing and dissemination.