Non-verbal Interaction and Interface with a Quadruped Robot using Body and Hand Gestures: Design and User Experience Evaluation
<|reference_start|>Non-verbal Interaction and Interface with a Quadruped Robot using Body and Hand Gestures: Design and User Experience Evaluation: In recent years, quadruped robots have attracted significant attention due to their practical advantages in maneuverability, particularly when navigating rough terrain and climbing stairs. As these robots become more integrated into various industries, including construction and healthcare, researchers have increasingly focused on developing intuitive interaction methods such as speech and gestures that do not require separate devices such as keyboards or joysticks. This paper aims at investigating a comfortable and efficient interaction method with quadruped robots that possess a familiar form factor. To this end, we conducted two preliminary studies to observe how individuals naturally interact with a quadruped robot in natural and controlled settings, followed by a prototype experiment to examine human preferences for body-based and hand-based gesture controls using a Unitree Go1 Pro quadruped robot. We assessed the user experience of 13 participants using the User Experience Questionnaire and measured the time taken to complete specific tasks. The findings of our preliminary results indicate that humans have a natural preference for communicating with robots through hand and body gestures rather than speech. In addition, participants reported higher satisfaction and completed tasks more quickly when using body gestures to interact with the robot. This contradicts the fact that most gesture-based control technologies for quadruped robots are hand-based. The video is available at https://youtu.be/rysv1p1zvp4.<|reference_end|>
@article{shin2024non-verbal,
    title={Non-verbal Interaction and Interface with a Quadruped Robot using Body
  and Hand Gestures: Design and User Experience Evaluation},
    author={Soohyun Shin, Trevor Evetts, Hunter Saylor, Hyunji Kim, Soojin Woo,
  Wonhwha Rhee, Seong-Woo Kim},
    journal={arXiv preprint arXiv:2408.17066},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.17066},
    primaryClass={cs.RO}
}