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Tracking human interactions with a commercially-available robot over multiple days
Ruud Hortensius1,2, Bishakha Chaudhury1, Martin Hoffmann3
1Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
Open Research Europe
|August 30, 2023
Summary
This study introduces the Cozmo robot as a low-cost platform for studying human-robot interaction in real-world settings. It enables accessible, long-term research on social cognitive processes across diverse populations and environments.
Area of Science:
- Robotics
- Human-Computer Interaction
- Cognitive Science
Background:
- Research on human-robot interaction (HRI) is shifting from lab settings to real-world environments.
- A need exists for a robust, affordable, and user-friendly robotic platform for in situ HRI data collection.
- Existing platforms may not be suitable for diverse populations (children, clinical groups) or varied settings (homes, schools).
Purpose of the Study:
- To present the Cozmo robot as a viable platform for embodied HRI studies in diverse, real-world settings.
- To detail the methodology for utilizing Cozmo for longitudinal HRI research.
- To demonstrate the extraction and analysis of interaction data from the Cozmo platform.
Main Methods:
- Utilized a commercially available, off-the-shelf robot (Cozmo) for HRI data collection.
- Described technical specifications and setup for Cozmo in various environments.
- Developed methods for collecting and extracting detailed log files of human-robot interactions.
- Introduced an interactive emotion classification tool for Cozmo behavioral data.
Main Results:
- Validated the Cozmo robot's behavioral repertoire.
- Demonstrated the extraction of log files containing rich human-robot interaction data.
- Showcased how Cozmo data and the emotion classification tool can inform understanding of long-term interaction psychological consequences.
Conclusions:
- The Cozmo platform offers a low-cost, flexible solution for studying HRI.
- It expands possibilities for user-driven, unconstrained HRI research beyond laboratory confines.
- Facilitates the study of social cognitive processes in naturalistic human-robot interactions.
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