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arxiv logo>cs> arXiv:2401.09077
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Computer Science > Human-Computer Interaction

arXiv:2401.09077 (cs)
[Submitted on 17 Jan 2024]

Title:Hands-On Robotics: Enabling Communication Through Direct Gesture Control

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Abstract:Effective Human-Robot Interaction (HRI) is fundamental to seamlessly integrating robotic systems into our daily lives. However, current communication modes require additional technological interfaces, which can be cumbersome and indirect. This paper presents a novel approach, using direct motion-based communication by moving a robot's end effector. Our strategy enables users to communicate with a robot by using four distinct gestures -- two handshakes ('formal' and 'informal') and two letters ('W' and 'S'). As a proof-of-concept, we conducted a user study with 16 participants, capturing subjective experience ratings and objective data for training machine learning classifiers. Our findings show that the four different gestures performed by moving the robot's end effector can be distinguished with close to 100% accuracy. Our research offers implications for the design of future HRI interfaces, suggesting that motion-based interaction can empower human operators to communicate directly with robots, removing the necessity for additional hardware.
Comments:Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
Subjects:Human-Computer Interaction (cs.HC); Robotics (cs.RO)
Cite as:arXiv:2401.09077 [cs.HC]
 (orarXiv:2401.09077v1 [cs.HC] for this version)
 https://doi.org/10.48550/arXiv.2401.09077
arXiv-issued DOI via DataCite
Related DOI:https://doi.org/10.1145/3610978.3640635
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Submission history

From: Max Pascher [view email]
[v1] Wed, 17 Jan 2024 09:36:19 UTC (2,978 KB)
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