Demographic characteristics of participants.

<p>Demographic characteristics of participants.</p

Correlation between intolerance of risk in the lottery game and extreme choices in other games.

<p>Correlation between intolerance of risk in the lottery game and extreme choices in other games.</p

Root mean square prediction error.

<p>Root mean square prediction error.</p

Regression of average score in quiz on behavioral attributes.

<p>Regression of average score in quiz on behavioral attributes.</p

Average score in the quiz.

<p>Average score in the quiz.</p

Distribution of willingness-to-pay for non-instrumental information (curiosity).

<p>Distribution of willingness-to-pay for non-instrumental information (curiosity).</p

Real or bogus: Predicting susceptibility to phishing with economic experiments

<div><p>We present a lab-in-the-field experiment to demonstrate how individual behavior in the lab predicts their ability to identify phishing attempts. Using the business and finance staff members from a large public university in the U.S., we find that participants who are intolerant of risk, more curious, and less trusting commit significantly more errors when evaluating interfaces. We also replicate prior results on demographic correlates of phishing vulnerability, including age, gender, and education level. Our results suggest that behavioral characteristics such as intolerance of risk, curiosity, and trust can be used to predict individual ability to identify phishing interfaces.</p></div

Quiz score distributions among non-participants (left panel) and participants of economic games (right panel).

<p>Quiz score distributions among non-participants (left panel) and participants of economic games (right panel).</p

Variable importance in random forest.

<p>Variable importance in random forest.</p

Regression of number of false negatives in quiz on behavioral attributes.

<p>Regression of number of false negatives in quiz on behavioral attributes.</p