Survey of Design Paradigms for Social Robots

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Frieske, Rita, Mo, Xiaoyu, Fang, Yini, Nieles, Jay, Shi, Bertram E.
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916339270025216
author Frieske, Rita
Mo, Xiaoyu
Fang, Yini
Nieles, Jay
Shi, Bertram E.
author_facet Frieske, Rita
Mo, Xiaoyu
Fang, Yini
Nieles, Jay
Shi, Bertram E.
contents The demand for social robots in fields like healthcare, education, and entertainment increases due to their emotional adaptation features. These robots leverage multimodal communication, incorporating speech, facial expressions, and gestures to enhance user engagement and emotional support. The understanding of design paradigms of social robots is obstructed by the complexity of the system and the necessity to tune it to a specific task. This article provides a structured review of social robot design paradigms, categorizing them into cognitive architectures, role design models, linguistic models, communication flow, activity system models, and integrated design models. By breaking down the articles on social robot design and application based on these paradigms, we highlight the strengths and areas for improvement in current approaches. We further propose our original integrated design model that combines the most important aspects of the design of social robots. Our approach shows the importance of integrating operational, communicational, and emotional dimensions to create more adaptive and empathetic interactions between robots and humans.
format Preprint
id arxiv_https___arxiv_org_abs_2407_20556
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Survey of Design Paradigms for Social Robots
Frieske, Rita
Mo, Xiaoyu
Fang, Yini
Nieles, Jay
Shi, Bertram E.
Robotics
Computation and Language
Computers and Society
The demand for social robots in fields like healthcare, education, and entertainment increases due to their emotional adaptation features. These robots leverage multimodal communication, incorporating speech, facial expressions, and gestures to enhance user engagement and emotional support. The understanding of design paradigms of social robots is obstructed by the complexity of the system and the necessity to tune it to a specific task. This article provides a structured review of social robot design paradigms, categorizing them into cognitive architectures, role design models, linguistic models, communication flow, activity system models, and integrated design models. By breaking down the articles on social robot design and application based on these paradigms, we highlight the strengths and areas for improvement in current approaches. We further propose our original integrated design model that combines the most important aspects of the design of social robots. Our approach shows the importance of integrating operational, communicational, and emotional dimensions to create more adaptive and empathetic interactions between robots and humans.
title Survey of Design Paradigms for Social Robots
topic Robotics
Computation and Language
Computers and Society
url https://arxiv.org/abs/2407.20556