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

Submitted by drwright on Fri, 06/09/2017 - 7:38am

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

 

HARD PROBLEM(S) ADDRESSED

  • 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.

 

PUBLICATIONS

  •  

ACCOMPLISHMENT HIGHLIGHTS

  • Our study provided evidence that, compared to emoticons, color warnings attract users' attention and influence them to make safer app-selection decisions.                

Groups: