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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.

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Summary
This summary is machine-generated.

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.

Keywords:
embodied interactionhuman-robot interactionrobotic platformsocial cognitionsocial robotics

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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.