Evaluating the cognitive mechanisms of phishing detection with PEST, an ecologically valid lab-based measure of phishing susceptibility

Data and code to generate Figures from Hakim et al. Evaluating the cognitive mechanisms of phishing detection with PEST, an ecologically valid lab-based measure of phishing susceptibility NOTE: Figure 4 requires data from the original PHIT task. These are available online at XXX Data files are csv files. Naming has the following form: scamdata_SUBJECTNUMBER_DATETIME_AGE_GENDER.dat e.g. scamdata_1_10Oct2018090103_18_F.dat Each datafile has 7 columns : userId : subject response (1 - safe with high confidence, 2 - safe with low confidence, 3 - scam with low confidence, 4 - scam with high confidence) reactTime : reaction time in seconds category : PHIT Email Category (and custom categories for pooled scam/safe emails) type : weapon of influence (for PHIT emails only) hasAtt : binary indicating whether email has an attachment realID : real email identifier (scam or safe) emailCode : unique ID of each email - used to locate specific emails within excel files