Do Spam Filters Make us Complacent?: Examining Email Legitimacy Tags and Phishing Susceptibility
Event Type
TimeWednesday, October 12th3:30pm - 4:30pm EDT
LocationPoster Gallery
DescriptionThe present study investigated the effect of an automated email filter on users’ classifications of legitimate and phishing emails. Filter decision and perceived reliability were manipulated along with email type (i.e., legitimate/phishing). Participants’ email classification accuracy and confidence were assessed along with their trust in the automated email filter. Individual differences in personality and propensity to trust machines were also measured. Accuracy results indicated that participants were more accurate for email types (i.e., legitimate/phishing) that matched the automated filter’s decision. Confidence results suggest that participants were more confident when identifying phishing emails, and confidence was further strengthened when the automation also classified the email as phishing. Participants’ trust in the automated filter did not vary by condition, indicating that neither filter decision nor reliability influenced users’ trust. However, propensity to trust machines was positively correlated with the post-interaction measure of trust. Overall, this work informs email filter design and implementation.