Silent Talker Lie Detector

The Silent Talker Lie Detector is a camera system which purportedly observes and analyzes non-verbal behaviour in the form of micro-gestures while a subject is being interviewed, for the claimed purpose of credibility assessment. The system attempts to avoid the problems with costly, time consuming, and error prone lie detection devices by using an Artificial Neural Network.[1] Silent Talker was invented between 2000 and 2002 by a team at Manchester Metropolitan University,[2] Zuhair Bandar, James O'Shea, David McLean and Janet Rothwell. A 2019 article for The Intercept stated that "some academics are questioning the value of the system, which they say relies on pseudoscience to make its decisions about travelers’ honesty", and that "The technology is based on a fundamental misunderstanding of what humans do when being truthful and deceptive."[3]

References

  1. Rothwell, Janet; Bandar, Zuhair; O'Shea, James; McLean, David (2006-09-01). "Silent talker: A new computer-based system for the analysis of facial cues to deception". Applied Cognitive Psychology. 20: 757–777. doi:10.1002/acp.1204.
  2. "BBC - Radio 4 - The Material World 30/1/2003". www.bbc.co.uk. Retrieved 2022-04-19.
  3. Gallagher, Ryan; Jona, Ludovica (2019-07-26). "We Tested Europe's New Lie Detector for Travelers — and Immediately Triggered a False Positive". The Intercept. Retrieved 2022-04-19.
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