Attadapt: Task-Difficulty Homeostasis Data for Car Following Models

Source code and data accompany the peer-reviewed article PONE-D-16-35677R1. The archived GitLab repository contains experimental data from a study on driver behavior during self-paced visual occlusion. Jami Pekkanen authored the research on task-difficulty homeostasis in car-following models.

Use Cases

• Validate car-following models based on experimental data from visual occlusion tasks.
• Analyze driver behavior and task-difficulty homeostasis based on the described experimental paradigm.
• Reproduce the computational results from the associated peer-reviewed article.

Strengths

• Data is directly linked to a peer-reviewed scientific article (PONE-D-16-35677R1).
• Includes source code, which likely enables full reproducibility of the analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Archived copy of a GitLab repository.

Collection Method

Experimental data collected for a study on self-paced visual occlusion.