Towards Diversity, Equity, and Inclusion in Human-Robot Interaction

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

As robots become smarter and interact with people in different social contexts it has become necessary to design robots that accommodate the information needs and values of a diverse group of users. This is an important topic of research for human-robot interaction given people who interact with robots vary by race, ethnicity, and gender. However, recent discussions within the robotics community suggest that current robots may not be designed to reflect the values and diversity of the users who interact with robots and thus may not be inclusive for different user populations. Drawing on Social Identity Theory, this paper focuses on whether users assign an ethnic identity to a robot and if so, which characteristics of robots lead to such decisions. From information on how users place robots into social categories, guidelines can be developed for interfaces between humans and robots that accommodate the ethnic diversity of users expected to interact with robots in social contexts.

Original languageEnglish
Title of host publicationHuman-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
EditorsMasaaki Kurosu, Ayako Hashizume
Pages3-17
Number of pages15
DOIs
StatePublished - 2023
EventThematic Area on Human Computer Interaction, HCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark
Duration: Jul 23 2023Jul 28 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14013 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic Area on Human Computer Interaction, HCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Country/TerritoryDenmark
CityCopenhagen
Period7/23/237/28/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Equity
  • Human-Robot Interaction
  • Inclusion
  • Social Identity Theory

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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