Work

HRI and UIST: Designing Socially Engaging Robot Interfaces

Year: 2024

Type: conference-paper

Source: ACM Symposium on User Interface Software and Technology (UIST)

DOI: 10.1145/3672539.3686705

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

Institutions: Carnegie Mellon University, University of Wisconsin–Madison, KTH Royal Institute of Technology, University of Chicago

Language: English

Topic: Social Robot Interaction and HRI

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4403318128

FWCI:

Cites: 26

Cited by:

Related to: 10