Social Robotics meets Sociolinguistics: Investigating Accent Bias and Social Context in HRI

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3580063

M. Foster, J. Stuart-Smith

引用次数: 4

Abstract

Deploying a social robot in the real world means that it must interact with speakers from diverse backgrounds, who in turn are likely to show substantial accent and dialect variation. Linguistic variation in social context has been well studied in human-human interaction; however, the influence of these factors on human interactions with digital agents, especially embodied agents such as robots, has received less attention. Here we present an ongoing project where the goal is to develop a social robot that is suitable for deployment in ethnically-diverse areas with distinctive regional accents. To help in developing this robot, we carried out an online survey of Scottish adults to understand their expectations for conversational interaction with a robot. The results confirm that social factors constraining accent and dialect are likely to be significant issues for human-robot interaction in this context, and so must be taken into account in the design of the system at all levels.

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社会机器人学与社会语言学:调查HRI中的口音偏见与社会语境

在现实世界中部署社交机器人意味着它必须与来自不同背景的说话者互动，而这些人可能会表现出大量的口音和方言差异。在人际交往中，社会语境中的语言变异已经得到了很好的研究;然而，这些因素对人类与数字代理(尤其是机器人等具身代理)互动的影响却很少受到关注。在这里，我们提出了一个正在进行的项目，其目标是开发一种适合在具有独特地域口音的种族多样化地区部署的社交机器人。为了帮助开发这个机器人，我们对苏格兰成年人进行了一项在线调查，以了解他们对与机器人对话互动的期望。结果证实，在这种情况下，限制口音和方言的社会因素可能是人机交互的重要问题，因此必须在所有级别的系统设计中加以考虑。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

期刊介绍： ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.