Evaluation and Metrics in C-HRI Research

Evaluation is essential for advancing C-HRI systems. Researchers must measure effectiveness, usability, and safety. Clear metrics support c-hri scientific progress and real-world deployment.

Common evaluation criteria include task performance, error rates, and interaction efficiency. Human factors such as workload, satisfaction, and trust are also assessed. Both objective and subjective measures are important.

Experimental studies often combine laboratory and real-world testing. Controlled environments isolate variables, while field studies capture realistic behavior. Balanced evaluation improves validity.

User-centered assessment methods emphasize human experience. Surveys, interviews, and behavioral analysis provide valuable insight. Feedback guides system refinement.

Robust evaluation ensures that C-HRI systems meet human needs. Metrics drive improvement and accountability. Effective assessment underpins responsible innovation.