Inclusive HRI II: Equity and Diversity in Design, Application, Methods, and Community

Ana Tanevska, Shruti Chandra, Giulia Barbareschi, Amy Eguchi, Zhao Han, Raj Korpan, Anastasia Owstrowski, G. Perugia, Sindhu Ravindranath, Katie Seaborn, Katie Winkle

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

5 Citations (Scopus)
154 Downloads (Pure)

Abstract

Diversity, equality, and inclusion (DEI) are critical factors that need to be considered when developing AI and robotic technologies for people. The lack of such considerations exacerbates and can also perpetuate existing forms of discrimination and biases in society for years to come. Although concerns have already been voiced around the globe, there is an urgent need to take action within the human-robot interaction (HRI) community. This workshop contributes to filling the gap by providing a platform in which to share experiences and research insights on identifying, addressing, and integrating DEI considerations in HRI. With respect to last year, this year the workshop will further engage participants on the problem of sampling biases through hands-on co-design activities for mitigating inequity and exclusion within the field of HRI.
Original languageEnglish
Title of host publicationHRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, Proceedings
PublisherAssociation for Computing Machinery, Inc
Pages956-958
Number of pages3
ISBN (Electronic)978-1-4503-9970-8
DOIs
Publication statusPublished - 13 Mar 2023
Event18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 - Stockholm, Sweden
Duration: 13 Mar 202316 Mar 2023

Conference

Conference18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023
Country/TerritorySweden
CityStockholm
Period13/03/2316/03/23

Keywords

  • Accessibility
  • Diversity
  • Equity
  • HRI
  • Inclusion
  • Sampling bias

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