| Title |
Deception Detection Expertise
|
|---|---|
| Published in |
Law and Human Behavior, January 2008
|
| DOI | 10.1007/s10979-007-9110-z |
| Pubmed ID | |
| Authors |
Gary D. Bond |
| Abstract |
A lively debate between Bond and Uysal (2007, Law and Human Behavior, 31, 109-115) and O'Sullivan (2007, Law and Human Behavior, 31, 117-123) concerns whether there are experts in deception detection. Two experiments sought to (a) identify expert(s) in detection and assess them twice with four tests, and (b) study their detection behavior using eye tracking. Paroled felons produced videotaped statements that were presented to students and law enforcement personnel. Two experts were identified, both female Native American BIA correctional officers. Experts were over 80% accurate in the first assessment, and scored at 90% accuracy in the second assessment. In Signal Detection analyses, experts showed high discrimination, and did not evidence biased responding. They exploited nonverbal cues to make fast, accurate decisions. These highly-accurate individuals can be characterized as experts in deception detection. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 3% |
| United States | 4 | 3% |
| Finland | 1 | <1% |
| Switzerland | 1 | <1% |
| Slovakia | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 132 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 18% |
| Student > Bachelor | 25 | 17% |
| Student > Master | 19 | 13% |
| Researcher | 16 | 11% |
| Student > Doctoral Student | 13 | 9% |
| Other | 30 | 21% |
| Unknown | 15 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 76 | 53% |
| Social Sciences | 11 | 8% |
| Computer Science | 6 | 4% |
| Medicine and Dentistry | 6 | 4% |
| Arts and Humanities | 4 | 3% |
| Other | 17 | 12% |
| Unknown | 24 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 July 2018.
All research outputs
#2,418,271
of 25,374,917 outputs
Outputs from Law and Human Behavior
#138
of 1,047 outputs
Outputs of similar age
#8,766
of 168,393 outputs
Outputs of similar age from Law and Human Behavior
#1
of 20 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,047 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done well, scoring higher than 86% of its peers.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.