New methods for examining expertise in burglars in natural and simulated environments: preliminary findings
- Submitting institution
-
University of Sussex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2898_57265
- Type
- D - Journal article
- DOI
-
10.1080/1068316X.2014.989849
- Title of journal
- Psychology, Crime & Law
- Article number
- -
- First page
- 507
- Volume
- 21
- Issue
- 5
- ISSN
- 1068-316X
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1080/1068316X.2014.989849
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This paper was first to rigorously demonstrate the potential for virtual environments and motion capture technology to capture and analyse offender behaviour (burglary) with application to other offences, e.g. sexual crimes, terrorism, etc. Media interest included the BBC [1] and New York Times [2] amongst 77 other metric captures including News 5, Blogs 2, Twitter 24, Facebook 2, Mendeley 29. Field-weighted citation impact 3.31 (Scopus). The paper is in the top 12% of work published in this field (Scival) and led to further works by the principal author and others [3,4].
[1] http://www.bbc.com/future/story/20150618-the-strange-expertise-of-burglars
[2] https://www.nytimes.com/2015/05/31/opinion/sunday/studying-crime-in-progress.html?ref=opinion&_r=1
[3] https://doi.org/10.1111/1745-9125.12210
[4] https://doi.org/10.1177/0022427816663997"
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -