Author
Listed:
- Daniel Conway
- Kun Yu
- Marcus Butavicius
- Fang Chen
- Anna Hepworth
Abstract
We examined the patterns of cues people utilised as they attempted to classify emails as legitimate or phishing via a novel approach – an information board study. In this paradigm, participants had to click on email elements to examine them, revealing which cues are utilised in the decision-making process as well as viewing duration. An online email classification task (87 Ps) was presented, including a between-subjects’ manipulation of cognitive load. This revealed consistent patterns of behaviour associated with identification of legitimate emails such as more time spent looking at signoffs aiding in identification, whereas more time spent looking at logo and greetings was associated with worse performance. We also found no-load condition participants with lower intuitive decision-making style scores identified more phishing emails correctly suggesting elaborative processing as an important determinant of good decision-making. However, none of; cyber security experience, impulsivity, and checking the sender’s address corresponded to higher rates of phishing email identification. Furthermore, we found no behavioural, cue-based patterns associated with correct decisions for phishing emails. We speculate that this decision-making process may be based on a global, holistic interpretation of the stimuli. This has important implications for awareness campaigns suggesting a more holistic approach to email evaluation.
Suggested Citation
Daniel Conway & Kun Yu & Marcus Butavicius & Fang Chen & Anna Hepworth, 2026.
"Forest or trees? Evidence for global processing via an information board study into cues utilised in phishing identification,"
Behaviour and Information Technology, Taylor & Francis Journals, vol. 45(4), pages 728-753, February.
Handle:
RePEc:taf:tbitxx:v:45:y:2026:i:4:p:728-753
DOI: 10.1080/0144929X.2025.2530012
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tbitxx:v:45:y:2026:i:4:p:728-753. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.