Nonverbal Cues in Human–Robot Interaction
A Communication Studies Perspective
Bibliographic Data
| ID | 8071700 |
|---|---|
| Authors | Jacqueline Urakami (0000-0002-2866-0807, Tokyo Institute of Technology, corresponding author), Katie Seaborn (0000-0002-7812-9096, Tokyo Institute of Technology) |
| Year | 2022 |
| Volume | 12 |
| Issue | 2 |
| Pages | 1-21 |
| Publication date | 2022-12-07 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ACM Transactions on Human-Robot Interaction (JOURNAL) |
| Journal identifiers | ISSN: 2573-9522 • E-ISSN: 2573-9522 |
| Publisher | Association for Computing Machinery (PUBLISHER • US) |
| DOI | 10.1145/3570169 |
| OpenAlex | W4311808540 |
| Language | EN |
| Citations received | 13 |
| References cited | 119 |
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 article, we offer a series of definitive nonverbal codes for human–robot interaction (HRI) that address the five human sensory systems (visual, auditory, haptic, olfactory, and 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 people and robots
Cognitive psychology · Feeling · Gesture · Human–computer interaction · Human–robot interaction · Nonverbal communication · Perspective (graphical · Robot · Action Observation and Synchronization · Computer Science · Multisensory perception and integration · Psychology · Social Robot Interaction and HRI · Artificial Intelligence · Communication · Social Psychology
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Physique and Character
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The Repertoire of Nonverbal Behavior
Significance of posture and position in the communication of attitude and status relationships
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Quantitative Research in Proxemic Behavior1
Cracking the Nonverbal Code
| Unique citing works | 13 |
|---|---|
| Citations per year | 6,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 13 |