UAV Operator Reaction Time and Eye-Tracking Data for Multimodal Alarm Evaluation

Reaction time data from 20 participants and eye-tracking data from a subset of 10 participants, collected during an experimental study on alarm modalities for UAV signal-loss events. The dataset was contributed by Saleh, Nermeen to Harvard Dataverse and last updated in June 2026. It includes participant responses, alarm condition information, and eye-tracking metrics to support research on multimodal alarm systems.

Use Cases

• Compare operator reaction times based on visual, auditory, and haptic alarm modalities mentioned in the description
• Analyze visual attention patterns during alarm events using the collected eye-tracking metrics
• Model operator awareness and performance degradation during simulated UAV signal-loss events
• Evaluate the effectiveness of multimodal alarm systems for improving situational awareness

Strengths

• Includes data from 20 participants for reaction time analysis
• Contains detailed eye-tracking metrics from a subset of 10 participants using a Neon Pupil Eyetracker
• Provides supporting documentation to facilitate data interpretation and study replication

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Eye-tracking data is limited to 10 participants due to interference with prescription glasses

Provenance

Source

Harvard Dataverse

Collection Method

Experimental study data collected from participants during simulated UAV signal-loss events.

Time Range

Experimental study period not specified; dataset last updated June 2026.

Freshness

Last updated 2026-06-12 11:31:01; freshness should be verified

Geography

Geographic coverage of the study participants is not specified.