Think-Aloud Mobile Authentication Screen Recordings Across Multiple Domains

Experimental screen recordings collected during authentication evaluation sessions using the think-aloud technique. The 3.0 GB dataset contains recordings of evaluators performing predefined tasks like account creation, login, and recovery while verbalizing observations. Authored by Abdulmohsen Saud Albesher and last updated on June 1, 2026, it was created to support qualitative analysis of usability and security issues.

Use Cases

• Identify recurring usability issues in mobile authentication flows based on verbalized user observations.
• Analyze security pitfalls in account creation and recovery processes based on user interactions.
• Compare authentication user experience across multiple mobile application domains mentioned in the file formats.
• Train models or develop heuristics for automated usability evaluation based on screen recordings and think-aloud commentary.

Strengths

• Dataset size is 3.0 GB, indicating substantial video content.
• Focuses on multiple mobile application domains, as suggested by file format names like CAREEM and NAJIZ.
• Explicitly excludes banking applications due to security sensitivity, clarifying its scope.

Limitations

• Row count and specific column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection after download.
• Data may reflect geographic or application bias inherent to the specific domains and platforms recorded.

Provenance

Source

Abdulmohsen Saud Albesher via figshare.

Collection Method

Collected during experimental sessions using the think-aloud technique where evaluators performed predefined authentication tasks.

Freshness

Last updated 2026-06-01 09:06:39; freshness should be verified.