Demo Data from EDBT 2026 / reviewers in the wild / expert
Khue Le
dblp:361/0842
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
0009-0008-0438-8360ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
2 papers |
Usable security · 64% Privacy and data protection · 36% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usable security › security interventions
security behavior interventions |
0.8 | 1 | 2024 | Encouraging Users to Change Breached Passwords Using the Protection Motivation Theory · ACM Trans. Comput. Hum. Interact. 2024 |
Privacy and data protection › information leakage
data breach |
0.7 | 1 | 2023 | Awareness, Intention, (In)Action: Individuals' Reactions to Data Breaches · ACM Trans. Comput. Hum. Interact. 2023 |
Usable security
security behavior |
0.2 | 1 | 2023 | Awareness, Intention, (In)Action: Individuals' Reactions to Data Breaches · ACM Trans. Comput. Hum. Interact. 2023 |
Methods — techniques the papers use, named apart from their topics
online experiment · 0.8factorial design · 0.8online survey · 0.7longitudinal follow-up · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Encouraging Users to Change Breached Passwords Using the Protection Motivation TheoryabstractWe draw on the Protection Motivation Theory (PMT) to design interventions that encourage users to change breached passwords. Our online experiment ( \(n=1{,}386\) ) compared the effectiveness of a threat appeal (highlighting the negative consequences after passwords were breached) and a coping appeal (providing instructions on changing the breached password) in a 2 \(\times\) 2 factorial design. Compared to the control condition, participants receiving the threat appeal were more likely to intend to change their passwords, and participants receiving both appeals were more likely to end up changing their passwords. Participants’ password change behaviors are further associated with other factors, such as their security attitudes (SA-6) and time passed since the breach, suggesting that PMT-based interventions are useful but insufficient to fully motivate users to change their passwords. Our study contributes to PMT’s application in security research and provides concrete design implications for improving compromised credential notifications. Yixin Zou, Khue Le, Peter Mayer 0001, Alessandro Acquisti, Adam J. Aviv, Florian Schaub |
ACM Trans. Comput. Hum. Interact. | 2 |
| 2023 | Awareness, Intention, (In)Action: Individuals' Reactions to Data BreachesabstractData breaches are prevalent. We provide novel insights into individuals’ awareness, perception, and responses to breaches that affect them through two online surveys: a main survey (n= 413) in which we presented participants with up to three breaches that affected them, and a follow-up survey (n= 108) in which we investigated whether the main study participants followed through with their intentions to act. Overall, 73% of participants were affected by at least one breach, but participants were unaware of 74% of breaches affecting them. Although some reported intention to take action, most participants believed the breach would not impact them. We also found a sizable intention-behavior gap. Participants did not follow through with their intention when they were apathetic about breaches, considered potential costs, forgot, or felt resigned about taking action. Our findings suggest that breached organizations should be held accountable for more proactively informing and protecting affected consumers. Peter Mayer 0001, Yixin Zou, Byron Lowens, Hunter A. Dyer, Khue Le, Florian Schaub, Adam J. Aviv |
ACM Trans. Comput. Hum. Interact. | 5 |