PI Yunmei Liu and PI David Kaber at AHFE 2025
PI Yunmei Liu and PI David Kaber at the AHFE International Conference 2025 in Hawaii.

The MINDxAI Lab shared the first paper kicking off its National Science Foundation EDSE project at the Applied Human Factors and Ergonomics International Conference 2025.

A Systematic Review of Ground Truth Labeling and Prediction for Cognitive Workload Adaptive Systems

This paper provides a foundation for the lab's NSF EDSE project with Dr. David Kaber, with contributions from master's student Udit Kumar Das and Ph.D. student Moajjem Hossain Chowdhury.

Key Takeaways

  • Most studies still rely on retrospective self-report for ground-truth workload labeling.
  • Predictive models perform well within subject, but performance drops across users.
  • Only 9% of published work evaluates a real-time closed-loop adaptive system, highlighting a major research gap.
Read the paper

From Dr. Liu:

Excited to be in Hawaii this week for Applied Human Factors and Ergonomics International Conference and to share the first paper kicking off our National Science Foundation EDSE project with Dr. David Kaber.

Grateful to work with my Master's student Udit Kumar Das and Ph.D. student Moajjem Hossain Chowdhury on this foundational effort.

We hope this review provides a helpful baseline for researchers working on cognitive modeling or designing adaptive systems. Great to see our EDSE work officially starting and to connect with the HF/E community.