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 language | English |
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Title of host publication | Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings |
Editors | Masaaki Kurosu, Ayako Hashizume |
Pages | 3-17 |
Number of pages | 15 |
DOIs | |
State | Published - 2023 |
Event | Thematic 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 2023 → Jul 28 2023 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 14013 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | Thematic Area on Human Computer Interaction, HCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 |
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Country/Territory | Denmark |
City | Copenhagen |
Period | 7/23/23 → 7/28/23 |
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