Detection of Concealed Information: Combining a Virtual Mock Crime with a P300-based Guilty Knowledge Test
- Authors
- Hahm, Jinsun; Ji, Hyung Ki; Jeong, Je Young; Oh, Dong Hoon; Kim, Seok Hyeon; Sim, Kwee-Bo; Lee, Jang-Han
- Issue Date
- Jun-2009
- Publisher
- Mary Ann Liebert Inc.
- Citation
- Cyberpsychology and Behavior, v.12, no.3, pp 269 - 275
- Pages
- 7
- Indexed
- SCIE
SCOPUS
- Journal Title
- Cyberpsychology and Behavior
- Volume
- 12
- Number
- 3
- Start Page
- 269
- End Page
- 275
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/176724
- DOI
- 10.1089/cpb.2008.0309
- ISSN
- 1094-9313
- Abstract
- The present study examined the detection of concealed information by combining a virtual mock crime with a P300-based Guilty Knowledge Test (GKT). Thirty-eight male participants were assigned to one of two groups: a guilty group that committed amock crime to conceal a lost roll of bills in a computer simulation of a virtual library and an innocent group that was free from concealed information. Remarkably, the guilty group reacted with stronger P300 peak amplitudes to crime-relevant than to irrelevant stimuli, whereas the innocent group had similar P300 responses between crime-relevant and irrelevant stimuli. Deception-related cognitive activity based on P300 was revealed as a valid marker to differentiate between guilty and innocent. This is a highly empirical study combining a virtual mock crime with a P300-based GKT to detect deception. These results may be applied to a variety of areas dealing with not only forensic investigation but also health and medical research concerning deception as a symptom.
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