The work aims to review and analyze the current research on multi-source physiological indicators, offering theoretical support for human factor evaluation. By examining the concepts of human factor assessment and multi-source physiological indicators and integrating both subjective and objective evaluation models and techniques, the integration of physiological indicators such as eye movement, EEG, and heart rate were sorted out across Chinese and international studies. Furthermore, the key research trends and hotspots in human factor assessment within the field of human-computer collaboration were identified and summarized. A significant challenge that the academic community faces is how to conduct a comprehensive and accurate evaluation of human-computer collaboration. Future research should prioritize the integration of multi-source physiological indicators and the development of a cross-domain, multi-dimensional evaluation indicator system, which can steer human-computer collaboration toward multi-source integration, improving the reliability of human factor assessment applications in human-computer collaboration.