Evaluating User Behavior in Smartphone Security: A Psychometric Perspective
summary
Develops a 14-item SSBS from an initial 45-item pool via exploratory and confirmatory factor analysis, claims two independent components technical vs social that survive CFA, and reports internal consistency above 0.70 and convergent validity with existing SeBIS/CIS measures. Surveys total 1,011 participants for psychometrics, notes one technical item with low base rate affecting AVE, and frames the scale as usable for modeling smartphone security intentions and designing interventions.
AI-written summary · about
chapters (8)
- 0:00Smartphone security behavior study
- 1:32User behavior study approaches
- 2:34Gaps in security behavior measurement
- 3:17Psychometric measurement scale
- 5:25Creating SSPS scale
- 7:36SSPS scale applications
- 8:38Limitations and future research
- 9:40Conclusion and validation
related talks
19mA Self-Report Measure of End-User Security Attitudes (SA-6)
13mUnpacking the Social and Emotional Dimensions of Security and Privacy User Engagement
35mHow UX Research and Behavioral Science Can Help to Improve People's Cyber Security Behaviors
11mMore than Usability: Differential Access to Digital Security and Privacy
49mA Whole Lotta BS (Behavioral Science) About Cybersecurity
05mUser Perceptions of the Usability and Security of Smartphones as FIDO2 Roaming
23mA Typology of Perceived Triggers for End-User Security and Privacy Behaviors
13mWhat Drives SMiShing Susceptibility? A U.S. Interview Study of How and Why Mobile Phone
