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Computer Science > Robotics

arXiv:2304.11293 (cs)
[Submitted on 22 Apr 2023]

Title:Nonverbal Cues in Human-Robot Interaction: A Communication Studies Perspective

Authors:Jacqueline Urakami, Katie Seaborn
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Abstract:Communication between people is characterized by a broad range of nonverbal cues. Transferring these cues into the design of robots and other artificial agents that interact with people may foster more natural, inviting, and accessible experiences. In this position paper, we offer a series of definitive nonverbal codes for human-robot interaction (HRI) that address the five human sensory systems (visual, auditory, haptic, olfactory, gustatory) drawn from the field of communication studies. We discuss how these codes can be translated into design patterns for HRI using a curated sample of the communication studies and HRI literatures. As nonverbal codes are an essential mode in human communication, we argue that integrating robotic nonverbal codes in HRI will afford robots a feeling of "aliveness" or "social agency" that would otherwise be missing. We end with suggestions for research directions to stimulate work on nonverbal communication within the field of HRI and improve communication between human and robots.
Comments: 21 pages
Subjects: Robotics (cs.RO); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC)
Report number: Article 22
Cite as: arXiv:2304.11293 [cs.RO]
  (or arXiv:2304.11293v1 [cs.RO] for this version)
  https://doi.org/10.48550/arXiv.2304.11293
Journal reference: J. Hum.-Robot Interact. 12, 2, Article 22 (June 2023), 21 pages
Related DOI: https://doi.org/10.1145/3570169

Submission history

From: Katie Seaborn [view email]
[v1] Sat, 22 Apr 2023 02:15:48 UTC (522 KB)
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