12 research outputs found

    Regression of average score in quiz on behavioral attributes.

    No full text
    <p>Regression of average score in quiz on behavioral attributes.</p

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

    No full text
    <p>Distribution of willingness-to-pay for non-instrumental information (curiosity).</p

    Root mean square prediction error.

    No full text
    <p>Root mean square prediction error.</p

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

    No full text
    <p>Quiz score distributions among non-participants (left panel) and participants of economic games (right panel).</p

    Real or bogus: Predicting susceptibility to phishing with economic experiments

    No full text
    <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

    Average score in the quiz.

    No full text
    <p>Average score in the quiz.</p

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

    No full text
    <p>Correlation between intolerance of risk in the lottery game and extreme choices in other games.</p

    Demographic characteristics of participants.

    No full text
    <p>Demographic characteristics of participants.</p

    Risk preference calibration and classification using consistent subjects.

    No full text
    <p>Risk preference calibration and classification using consistent subjects.</p

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

    No full text
    <p>Regression of number of false positives in quiz on behavioral attributes.</p
    corecore