Automatically Analyzing Facial-Feature Movements to Identify Human Errors

  title={Automatically Analyzing Facial-Feature Movements to Identify Human Errors},
  author={Maria E. Jabon and Grace Ahn and Jeremy N. Bailenson},
  journal={IEEE Intelligent Systems},
Everyday countless human errors occur around the globe. Although many of these errors are harmless, disastrous errors-such as Bhopal, Chernobyl, and Three Mile Island-demonstrate that developing ways to improve human performance is not only desirable but crucial. Considerable research exists in human-error identification (HEI), a field devoted to developing systems to predict human errors. However, these systems typically predict only instantaneous errors, not overall human performance… CONTINUE READING


Publications referenced by this paper.
Showing 1-8 of 8 references

Fank, Data Mining: Practical Machine Learning

  • E.H.I. Witten
  • Tools and Techniques,
  • 2005

What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS)

  • P. Ekman, E. L. Rosenberg
  • 1997

Similar Papers

Loading similar papers…