Automatically Analyzing Facial-Feature Movements to Identify Human Errors

@article{Jabon2011AutomaticallyAF,
  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},
  year={2011},
  volume={26},
  pages={54-63}
}
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

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