Systemizers are better code-breakers: self-reported systemizing predicts code-breaking performance in expert hackers and naïve participants
- Submitting institution
-
Abertay University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 17661543
- Type
- D - Journal article
- DOI
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10.3389/fnhum.2016.00229
- Title of journal
- Frontiers in Human Neuroscience
- Article number
- 229
- First page
- -
- Volume
- 10
- Issue
- -
- ISSN
- 1662-5161
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- 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
- No
- Number of additional authors
-
4
- Research group(s)
-
C - Cybersecurity
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research explores predispositions in people to computer hacking and characterises experiment participants via rigorous tests from psychology (autism spectrum quotient, systemizing quotient) together with expert-selected tasks from cybersecurity undertaken in a specialist laboratory. The key finding is that systemisers are better at hacking-related tasks. The findings have been cited in child psychiatry research on the power of systemizing in autism and a recent international review of computer hacking research (2020).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
