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Display of major risk categories for android apps
Jing Chen1, Huangyi Ge2, Scott Moore3
1Department of Psychology.
Journal of Experimental Psychology. Applied
|June 22, 2018
Summary
Graphical risk displays effectively communicate mobile app cybersecurity risks. Horizontal bar-graphs are particularly efficient for users assessing privacy, monetary, and device stability concerns.
Area of Science:
- Human-Computer Interaction
- Cybersecurity
- Usability Studies
Background:
- Communicating cybersecurity risks to mobile users is crucial but current methods like permission lists are ineffective.
- Existing risk indexes influence app selection but lack detailed information desired by users.
Purpose of the Study:
- To examine how users assess Android app download risks using intermediate-level graphical displays.
- To compare the effectiveness of different graphical formats (bar-graphs vs. tables, horizontal vs. vertical) for conveying specific risk categories (privacy, monetary, device stability).
Main Methods:
- Participants rated app risks and made app-selection decisions based on hypothetical apps with categorized risk scores.
- Experiment 1 focused on risk rating, while Experiments 2 and 3 focused on app selection.
- User risk concerns across personal privacy, monetary loss, and device stability were recorded.
Main Results:
- Higher risk scores in all categories led to increased perceived risk and decreased app selection rates.
- Bar-graphs were more time-efficient and resulted in higher risk ratings compared to tables.
- Horizontal bar-graphs facilitated faster user responses than vertical bar-graphs.
Conclusions:
- Intermediate-level risk displays effectively convey categorized cybersecurity risk information to mobile users.
- Horizontal bar-graphs are a particularly effective format for presenting this information.
- Personalizing risk displays based on individual user concerns shows potential utility.
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