Understanding user behaviour in coping with security threats of mobile device loss and theft
Why this work is in the frame
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Bibliographic record
Abstract
Mobile devices have been widely used by people to meet their information processing and communication needs for both work and personal life. However, the loss and theft of these devices has created a new type of information security threat to the individuals as well as to the companies involved. Based on protection motivation theory (PMT), this study constructs a user behaviour model to empirically investigate the key factors that may affect end user behaviours in coping with mobile device loss and theft. The results suggest that user coping intention is influenced by user threat perception, coping appraisal, and social influence. The findings of this study contribute to information systems security research by addressing very important mobile security risks from a specific perspective and by revealing that the combined but not singular effects of perceived vulnerability and perceived severity influence user intention to cope with security threats.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it