Visible to the public A Human Information-Processing Analysis of Online Deception Detection - January 2017Conflict Detection Enabled

Public Audience
Purpose: To highlight project progress. Information is generally at a higher level which is accessible to the interested public. All information contained in the report (regions 1-3) is a Government Deliverable/CDRL.

PI(s):  Robert W. Proctor, Ninghui Li
Researchers: Jing Chen; Weining Yang; Aiping Xiong; Wanling Zou



  • Human Behavior - Predicting individual users’ judgments and decisions regarding possible online deception.  Our research addresses this problem within the context of examining user decisions with regard to phishing attacks. This work is grounded within the scientific literature on human decision-making processes.




  • We have conducted human-subjects research in the context of phishing.  A major finding is that training about phishing is essential to help people make informed decisions about whether a webpage is fraudulent.  We also showed that phishing training can be delivered through embedding it within phishing warnings.  We have also shown that users’ trust in phishing warnings systematically varies as a function of whether they are informed explicitly about the actual reliability of the warning system or whether this knowledge is acquired through experience.