| Title |
Outsmarting the Liars: The Benefit of Asking Unanticipated Questions
|
|---|---|
| Published in |
Law and Human Behavior, January 2009
|
| DOI | 10.1007/s10979-008-9143-y |
| Pubmed ID | |
| Authors |
Aldert Vrij, Sharon Leal, Pär Anders Granhag, Samantha Mann, Ronald P. Fisher, Jackie Hillman, Kathryn Sperry |
| Abstract |
We hypothesised that the responses of pairs of liars would correspond less with each other than would responses of pairs of truth tellers, but only when the responses are given to unanticipated questions. Liars and truth tellers were interviewed individually about having had lunch together in a restaurant. The interviewer asked typical opening questions which we expected the liars to anticipate, followed by questions about spatial and/or temporal information which we expected suspects not to anticipate, and also a request to draw the layout of the restaurant. The results supported the hypothesis, and based on correspondence in responses to the unanticipated questions, up to 80% of liars and truth tellers could be correctly classified, particularly when assessing drawings. |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Portugal | 1 | <1% |
| France | 1 | <1% |
| Slovakia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 140 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 23% |
| Student > Ph. D. Student | 30 | 20% |
| Student > Bachelor | 20 | 14% |
| Student > Doctoral Student | 11 | 7% |
| Student > Postgraduate | 8 | 5% |
| Other | 25 | 17% |
| Unknown | 20 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 81 | 55% |
| Social Sciences | 10 | 7% |
| Business, Management and Accounting | 8 | 5% |
| Computer Science | 5 | 3% |
| Medicine and Dentistry | 4 | 3% |
| Other | 16 | 11% |
| Unknown | 24 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 20 April 2022.
All research outputs
#1,392,511
of 25,373,627 outputs
Outputs from Law and Human Behavior
#82
of 1,047 outputs
Outputs of similar age
#5,327
of 183,280 outputs
Outputs of similar age from Law and Human Behavior
#2
of 29 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th 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 particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 183,280 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 29 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 93% of its contemporaries.