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

Foster, M. E. and Stuart-Smith, J. (2023) Social Robotics Meets Sociolinguistics: Investigating Accent Bias and Social Context in HRI. In: 18th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI2023), Stockholm, Sweden, 13-16 March 2023, pp. 156-160. ISBN 9781450399708 (doi: 10.1145/3568294.3580063)

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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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Stuart-Smith, Professor Jane and Foster, Dr Mary Ellen
Authors: Foster, M. E., and Stuart-Smith, J.
College/School:College of Arts & Humanities > School of Critical Studies > English Language and Linguistics
College of Science and Engineering > School of Computing Science
ISBN:9781450399708
Copyright Holders:© 2023 Copyright held by the owner/author(s).
First Published:First published in HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
303764EPSRC CDT - Socially Intelligent Artificial AgentsAlessandro VinciarelliEngineering and Physical Sciences Research Council (EPSRC)EP/S02266X/1Computing Science