Mobile Privacy Permission Usability: Task Performance and Error Data

Anonymized results from a task-based usability evaluation examine how users interact with system-level privacy settings on multiple mobile operating systems. The dataset includes participant performance metrics, categorized usability errors, and questionnaire responses. Its cross-platform presence on figshare suggests it is a recognized resource for privacy and HCI research.

Use Cases

• Benchmarking task success rates across different mobile operating systems based on performance metrics.
• Analyzing patterns in categorized usability errors to identify common design pitfalls in privacy interfaces.
• Correlating questionnaire responses with completion time data to understand user sentiment and efficiency.
• Training or validating models for predicting user difficulty with specific privacy permission tasks.

Strengths

• Contains 185,318 data points, suggesting a substantial volume of observations.
• Includes multiple data facets: performance metrics, error categorizations, and questionnaire responses.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Column names and the exact row count are not provided, limiting understanding of the data structure.
• The dataset description is repeated across sources, indicating a potential lack of detailed, platform-specific documentation.
• The future 'Last updated' date of 2026-03 21 may indicate a metadata error or planned future version.

Provenance

Source

Author: Albesher

Collection Method

Gathered from a task-based usability evaluation.

Time Range

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Freshness

2026-03-21 19:55:23

Geography

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