Published January 1, 2024
| Version v1
Data paper
Open
RW4T Dataset: Data of Human-Robot Behavior and Cognitive States in Simulated Disaster Response Tasks
Authors/Creators
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1.
Rice University
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2.
DEVCOM Army Research Laboratory
Description
Rescue World for Teams (RW4T) is a multimodal dataset of human-robot behavior and internal states (workload, intent) in dyadic human-robot collaboration. This RW4T dataset includes state, action and reward sequences, and all the necessary data to replay a visual task execution. It further contains psychophysiological metrics like heart rate and pupillometry, complemented by self-reported cognitive state measures. With data from 20 participants, each undertaking five human-robot collaborative tasks, this dataset accompanied with the simulator can serve as a valuable benchmark for human behavior modeling.
Files
rw4t-dataset.zip
Files
(906.0 MB)
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Additional details
Funding
- United States Army Research Office