• DOI:10.1007/11760146_48
Corpus ID: 206598056

Detecting Deception in Person-of-Interest Statements

@inproceedings{Fuller2006DetectingDI,
  title={Detecting Deception in Person-of-Interest Statements},
  author={Christie M. Fuller and David P. Biros and M. Adkins and J. Burgoon and J. Nunamaker and S. Coulon},
  booktitle={ISI},
  year={2006}
}

Christie M. Fuller, David P. Biros, +3 authors S. Coulon

Published in ISI 2006

Computer Science

Most humans cannot detect lies at a rate better than chance. Alternative methods of deception detection may increase accuracy, but are intrusive, do not offer immediate feedback, or may not be useful in all situations. Automated classification methods have been suggested as an alternative to address these issues, but few studies have tested their utility with real-world, high-stakes statements. The current paper reports preliminary results from classification of actual security police… CONTINUE READING

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