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SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
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HR-ACT (Human-Robot Action) Database: Communicative and noncommunicative action videos featuring a human and a
Tuǧçe Nur Pekçetin1,2, Gaye Aşkın3, Şeyda Evsen4
1Department of Cognitive Science, Graduate School of Informatics, Middle East Technical University, Çankaya/Ankara, Türkiye.
Behavior Research Methods
|January 12, 2026
Summary
The Human-Robot Action (HR-ACT) Database offers standardized videos of human and robot actions. This resource aids research in human-robot interaction and action perception by providing controlled stimuli and normative data.
Area of Science:
- Human-Robot Interaction
- Cognitive Psychology
- Neuroscience
- Action Perception
Background:
- Standardized stimuli are crucial for reproducible research in human-robot interaction (HRI).
- Existing datasets may lack matched human and robot actions or comprehensive normative data.
Purpose of the Study:
- To introduce the Human-Robot Action (HR-ACT) Database, a novel resource for studying action perception.
- To provide matched communicative and noncommunicative actions performed by a human and a humanoid robot.
- To collect extensive normative data on these actions from human participants.
Main Methods:
- Creation of 80 standardized action exemplars (40 per agent: human and Pepper robot).
- Actions were matched for manner, timing, and repetitions.
- Collection of normative data from 438 participants, including identification, confidence, and communicativeness ratings.
Main Results:
- The HR-ACT Database contains 80 videos of matched human and robot actions.
- Detailed normative data, including meaning clusters and H values, are provided.
- Stimuli are available in multiple formats (videos, image frames, .qanim files) for diverse research needs.
Conclusions:
- The HR-ACT Database offers a valuable, publicly available resource for HRI and cognitive science research.
- It facilitates systematic investigation of action perception across human and robotic agents.
- The inclusion of raw animation files supports real-time experimental implementations with Pepper robots.
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