Your Behaviors Reveal What You Need: A Practical Scheme Based on User Behaviors for Personalized Security Nudges

Qu, Leilei; Xiao, Ruojin; Shi, Wenchang; Huang, Keman; Qin, Bo; Liang, Bin

doi:10.1016/j.cose.2022.102891

Cited by 3 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are various avenues to expand upon our research. Based on the results of this study, one possible direction for future research is to design experiments that translate the preferences of the identified attitudinal groups into specific, testable interventions to conduct more behavioral (e.g., Qu et al 2022) or design-oriented (e.g., Barev et al 2020) investigations. This approach would address the methodological issue encountered with Q-methodology, which does not allow for causal inferences to be made about how people respond to different types of nudges and why they develop favorable or unfavorable attitudes toward specific nudge strategies.…”

Section: Discussionmentioning

confidence: 99%

Acceptable nudge strategies to incentivize the use of wearables and physiolytics at work: A Q-methodology examination

Mettler

Stepanovic

2023

Journal of Information Technology

View full text Add to dashboard Cite

The Covid-19 pandemic has increased the pressure on organizations to ensure health and safety in the workplace. An increasing number of organizations are considering wearables and physiolytics devices as part of their safe return to work programs so as to comply with governments’ accountability rules. As with other technologies with ambivalent use (i.e., simultaneously beneficial and harmful), the introduction of these devices in work settings is met with skepticism. In this context, nudging strategies as a way of using design, information, and other ways to manipulate behaviors (system 1 nudge) and choices (system 2 nudge) has gained traction and is often applied alongside the introduction of ambivalent technologies with the aim to “nudge” their use. While the feasibility of different nudge strategies is often studied from only a managerial perspective, where employees’ volitional autonomy and dignity is often treated as secondary, we explore which nudges are acceptable from the perspectives of ordinary workers. Using Q-methodology as a more evolutionary and participatory way to design nudges, we describe five basic strategies that are (to varying degrees) acceptable to them: (a) positive reinforcement and fun, (b) controlling the organizational environment, (c) self-responsibility, (d) collective responsibility, and (e) adapting the individual environment. Our findings show that there is a wide range of viewpoints on what is being considered an acceptable nudge and stress the importance of a transparent, equal dialogue between those who design nudges and potential nudgees.

show abstract

Section: Discussionmentioning

confidence: 99%

Acceptable nudge strategies to incentivize the use of wearables and physiolytics at work: A Q-methodology examination

Mettler

Stepanovic

2023

Journal of Information Technology

View full text Add to dashboard Cite

show abstract

Authentication in the Connected World: Perceived Password Security Is Inflated

Bassett,

Micallef,

Müller

2024

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

Ontology-Based Intelligent Interface Personalization for Protection Against Phishing Attacks

Zahedi,

Chen,

Zhao

2024

Information Systems Research

View full text Add to dashboard Cite

Millions of users on the Internet have fallen into phishing website traps. Detection tools are designed to warn users against such attacks, but often fail to achieve this purpose. One crucial reason behind this is that users rarely have a chance to interact and build a relationship with a detection tool that stealthily runs at the backend. A warning message on a rarely seen interface from such a tool hardly inspires users’ trust in its authenticity and accuracy. In this study, we propose an ontology-based intelligent interface personalization (OBIIP) design for the warning interfaces of phishing website detection tools. We first constructed an ontology of warning interface elements (OWIE), which is a comprehensive knowledgebase for warning interface design. We then used OWIE in the design and creation of an OBIIP prototype and assessed it in a laboratory experiment and an online experiment. The results show the significant value of OBIIP in improving users’ performance in terms of self-protection against website phishing attacks and building a stronger relationship with the detection tool in terms of trust in and use of the tool.

show abstract

Your Behaviors Reveal What You Need: A Practical Scheme Based on User Behaviors for Personalized Security Nudges

Cited by 3 publications

References 28 publications

Acceptable nudge strategies to incentivize the use of wearables and physiolytics at work: A Q-methodology examination

Acceptable nudge strategies to incentivize the use of wearables and physiolytics at work: A Q-methodology examination

Authentication in the Connected World: Perceived Password Security Is Inflated

Ontology-Based Intelligent Interface Personalization for Protection Against Phishing Attacks

Contact Info

Product

Resources

About