Detecting deception via eyeblink frequency modulation
To assess the efficacy of using eyeblink frequency modulation to detect deception about a third party, 32 participants were sent on a mission to deliver a package to an interviewer. 17 of the participants lied to the interviewer about the details of their mock mission and 15 responded truthfully. Du...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2014-02-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/260.pdf |
| _version_ | 1827607198221467648 |
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| author | Brandon S. Perelman |
| author_facet | Brandon S. Perelman |
| author_sort | Brandon S. Perelman |
| collection | DOAJ |
| description | To assess the efficacy of using eyeblink frequency modulation to detect deception about a third party, 32 participants were sent on a mission to deliver a package to an interviewer. 17 of the participants lied to the interviewer about the details of their mock mission and 15 responded truthfully. During the interview, eyeblink frequency data were collected via electromyography and recorded video. Liars displayed eyeblink frequency suppression while lying, while truth tellers exhibited an increase in eyeblink frequency during the mission relevant questioning period. The compensatory flurry of eyeblinks following deception observed in previous studies was absent in the present study. A discriminant function using eyeblink suppression to predict lying correctly classified 81.3% of cases, with a sensitivity of 88.2% and a specificity of 73.3%. This technique, yielding a reasonable sensitivity, shows promise for future testing as, unlike polygraph, it is compatible with distance technology. |
| first_indexed | 2024-03-09T06:49:59Z |
| format | Article |
| id | doaj.art-460e89c2c46542bcae19525e9c16f815 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T06:49:59Z |
| publishDate | 2014-02-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-460e89c2c46542bcae19525e9c16f8152023-12-03T10:27:53ZengPeerJ Inc.PeerJ2167-83592014-02-012e26010.7717/peerj.260260Detecting deception via eyeblink frequency modulationBrandon S. Perelman0Michigan Technological University, Department of Cognitive and Learning Sciences, Houghton, MI, USATo assess the efficacy of using eyeblink frequency modulation to detect deception about a third party, 32 participants were sent on a mission to deliver a package to an interviewer. 17 of the participants lied to the interviewer about the details of their mock mission and 15 responded truthfully. During the interview, eyeblink frequency data were collected via electromyography and recorded video. Liars displayed eyeblink frequency suppression while lying, while truth tellers exhibited an increase in eyeblink frequency during the mission relevant questioning period. The compensatory flurry of eyeblinks following deception observed in previous studies was absent in the present study. A discriminant function using eyeblink suppression to predict lying correctly classified 81.3% of cases, with a sensitivity of 88.2% and a specificity of 73.3%. This technique, yielding a reasonable sensitivity, shows promise for future testing as, unlike polygraph, it is compatible with distance technology.https://peerj.com/articles/260.pdfDeceptionEyeblinkElectromyographyDiscriminant analysisLie detectionCognitive demand |
| spellingShingle | Brandon S. Perelman Detecting deception via eyeblink frequency modulation PeerJ Deception Eyeblink Electromyography Discriminant analysis Lie detection Cognitive demand |
| title | Detecting deception via eyeblink frequency modulation |
| title_full | Detecting deception via eyeblink frequency modulation |
| title_fullStr | Detecting deception via eyeblink frequency modulation |
| title_full_unstemmed | Detecting deception via eyeblink frequency modulation |
| title_short | Detecting deception via eyeblink frequency modulation |
| title_sort | detecting deception via eyeblink frequency modulation |
| topic | Deception Eyeblink Electromyography Discriminant analysis Lie detection Cognitive demand |
| url | https://peerj.com/articles/260.pdf |
| work_keys_str_mv | AT brandonsperelman detectingdeceptionviaeyeblinkfrequencymodulation |