HRI and UIST: Designing Socially Engaging Robot Interfaces

Human-Robot Interaction (HRI) is a field of study that focuses on the understanding, design, and evaluation of interactions between humans and robots. This workshop aims to bring together researchers interested in exploring the intersection of UIST and HRI. Our goal is to provide attendees with a deeper understanding of the synergies between the two research communities and to inspire better alignment between technical advancements in UIST and their application to social HRI contexts. The workshop will feature interactive demos, prototyping sessions, and discussions to explore key HRI concepts and considerations for designing robot interfaces that facilitate social interactions with humans.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1145/3672539.3686705
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
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article

HRI and UIST: Designing Socially Engaging Robot Interfaces

Amy Koike, Ran Zhou, Ken Nakagaki, Nathan Thomas White et al.
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Social Robot Interaction and HRI
article

HRI and UIST: Designing Socially Engaging Robot Interfaces

Amy Koike, Ran Zhou, Ken Nakagaki, Nathan Thomas White, Arissa J. Sato, Pragathi Praveena
article en

Abstract

Human-Robot Interaction (HRI) is a field of study that focuses on the understanding, design, and evaluation of interactions between humans and robots. This workshop aims to bring together researchers interested in exploring the intersection of UIST and HRI. Our goal is to provide attendees with a deeper understanding of the synergies between the two research communities and to inspire better alignment between technical advancements in UIST and their application to social HRI contexts. The workshop will feature interactive demos, prototyping sessions, and discussions to explore key HRI concepts and considerations for designing robot interfaces that facilitate social interactions with humans.

University of Wisconsin–Madison (US), University of Chicago (US), Carnegie Mellon University (US), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 77%
Social Robot Interaction and HRI
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HRI and UIST: Designing Socially Engaging Robot Interfaces — Amy Koike, Ran Zhou, et al. · (2024) | TGRS Research Map | TGRS