Raywood-Burke, George, Bishop, Laura M., Asquith, Phoebe M. and Morgan, Phillip L. ORCID: https://orcid.org/0000-0002-5672-0758
2021.
Human individual difference predictors in cyber-security: exploring an alternative scale method and data resolution to modelling cyber secure behavior.
Presented at: 23rd HCI International Conference (HCII 2021),
Virtual,
24-29 July 2021.
Published in: Moallem, Abbas ed.
HCI for Cybersecurity, Privacy and Trust.
Lecture Notes in Computer Science
, vol.12788
Springer, Cham,
pp. 226-240.
10.1007/978-3-030-77392-2_15
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Abstract
With the increase in reliance upon technology in our everyday lives, users are more vulnerable than ever to cybercrime and data security breaches. Whilst it is important, and valued, to develop technology-based interventions to mitigate this risk, it is also important to consider the impact of human error on cyber safety, and how this can be measured. Data collected from a diverse sample of 189 participants using an alternative measurement scale to more traditional Likert scales, the Visual Analogue Scales (VAS), was adopted for previously researched measures of individual differences (age, gender, education level, personality, decision-making style, risk-taking preferences, acceptance of the internet, and related Theory of Planned Behavior and Protection-Motivation Theory concepts) to expand understanding of the relationships between individual differences and user-end cybersecurity behaviors, and explore the significance of this alternative measure in the field of Cyber Psychology. Findings demonstrate the use of VAS can be a reliable and valid method capable of identifying a variety of potential human vulnerabilities and strengths on an individual level. These findings highlight the importance of considering a human-centered approach to cyber-security, and future research should consider then importance of these individual differences in tailoring practical interventions.
| Item Type: | Conference or Workshop Item - published (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Psychology |
| Publisher: | Springer, Cham |
| ISBN: | 9783030773915 |
| ISSN: | 0302-9743 |
| Date of First Compliant Deposit: | 4 August 2021 |
| Date of Acceptance: | 30 March 2021 |
| Last Modified: | 12 Aug 2026 13:31 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/143169 |
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