Oculomotor Signatures for Task Disengagement and Vigilance Reduction

Data Sheet 1_Distinct oculomotor signatures for task disengagement and reduction in vigilance during a supervisory task.docx by Stefania C. Ficarella contains results from a study on human supervisory performance. The study, last updated on 2026-05-15, manipulated task engagement and vigilance to identify distinct oculomotor patterns, such as saccades and blinks, that predict reaction times.

Use Cases

• Training classifiers to predict human reaction times based on oculomotor features like saccades and blinks.
• Analyzing the impact of time-on-task on visual exploration patterns during supervisory monitoring.
• Investigating the dissociation between oculomotor markers for low vigilance and low task engagement.
• Modeling the out-of-the-loop phenomenon in automated system supervision.

Strengths

• The dataset is associated with a study that successfully identified distinct oculomotor signatures for two critical performance factors.
• Results showed that specific oculomotor features predicted participants' reaction times above chance, as stated in the description.
• The data is shared under a permissive CC-BY-4.0 license.

Limitations

• The dataset is a 970.9 KB DOCX file; the underlying data structure, column definitions, and row count are unknown.
• The description does not specify the number of participants or the exact temporal scope of the data collection.
• Documentation is limited to the description; column-level semantics must be inferred after download.

Provenance

Source

Stefania C. Ficarella via figshare

Collection Method

Collected from a laboratory study where participants monitored a simulated aircraft autopilot system.

Freshness

Last updated 2026-05-15 05:47:23.