Evaluating C-HRI systems requires multidimensional metrics. Performance, safety, and user experience are assessed together. Holistic evaluation reflects real use.

Quantitative metrics measure c-hri.org accuracy, timing, and error rates. Qualitative studies assess trust and comfort. Combined methods provide insight.

Benchmarking enables comparison across systems. Standardized tasks and datasets support reproducibility. Shared benchmarks accelerate progress.

Human-centered evaluation is essential. User feedback informs system refinement. Interaction quality remains central.

Robust evaluation ensures scientific rigor. C-HRI development becomes evidence-based. Metrics guide future innovation.