Expertise in Deception Detection Involves Actively Prompting Diagnostic Information Rather Than Passive Behavioral Observation

  • Levine, Timothy Roland
  • Clare, David Daniel
  • Blair, J. Pete
  • McCornack, Steve
  • Morrison, Kelly
  • ... Park, Hee Sun
Citations

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36

초록

In a proof-of-concept study, an expert obtained 100% deception-detection accuracy over 33 interviews. Tapes of the interactions were shown to N=136 students who obtained 79.1% accuracy (Mdn=83.3%, mode=100%). The findings were replicated in a second experiment with 5 different experts who collectively conducted 89 interviews. The new experts were 97.8% accurate in cheating detection and 95.5% accurate at detecting who cheated. A sample of N=34 students watched a random sample of 36 expert interviews and obtained 93.6% accuracy. The data suggest that experts can accurately distinguish truths from lies when they are allowed to actively question a potential liar, and nonexperts can obtain high accuracy when viewing expertly questioned senders.

키워드

INDIVIDUAL-DIFFERENCESFALSE CONFESSIONSINTERPERSONAL DECEPTIONDETECTION ACCURACYINVESTIGATOR BIASOFFICERSPEOPLETRUTHLIES
제목
Expertise in Deception Detection Involves Actively Prompting Diagnostic Information Rather Than Passive Behavioral Observation
저자
Levine, Timothy RolandClare, David DanielBlair, J. PeteMcCornack, SteveMorrison, KellyPark, Hee Sun
DOI
10.1111/hcre.12032
발행일
2014-10
유형
Article
저널명
Human Communication Research
40
4
페이지
442 ~ 462