Designing Functional Clothing for Human-robot Interaction

Friedman, Natalie; Love, Kari; Bremers, Alexandra W.D.; Parry, Abigail; Lc, Ray; Amgalan, Bolor; Bagalkot, Naveen; Ju, Wendy

doi:10.1145/3434074.3444870

Cited by 4 publications

(1 citation statement)

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“…Many robots, such as KASPAR [43], have removable clothing, but the use of clothing, varieties of clothing, and even manner of wear, such as topless versus bottomless, has not been well-studied, despite the possibility of important effects according to human models. Future work can start to explore the possibility of designing clothing for robots, i.e., robot-centered robot clothing and robot fashion [44]. Furthermore, clothing can be an easy way to clarify the role of a specific robot in public spaces or its affiliation, similarly to how people wear a specific type of uniform or clothing that features the company logo across a variety of jobs.…”

Section: Clothingmentioning

confidence: 99%

Nonverbal Cues in Human–Robot Interaction: A Communication Studies Perspective

Urakami

Seaborn

2023

J. Hum.-Robot Interact.

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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.

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Section: Clothingmentioning

confidence: 99%