2ndInternational Workshop on Designerly HRI Knowledge. Reflecting on HRI practices through Annotated Portfolios of Robotic Artefacts

Maria Luce Lupetti, Cristina Zaga, Nazli Cila, Michal Luria, Marius Hoggenmuller, Malte F. Jung

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

We propose a workshop stemming from ongoing conversations about the role of design methods and designed artefacts within the field of Human-Robot Interaction (HRI). Given the growing interest in understanding what the field can learn from design explorations, the workshop focuses on hands-on annotating activity where participants (researchers and practitioners from HRI, Human-Computer Interaction, and Design Research) will analyze and reflect upon selected collections of robotic artefacts. Ultimate goal of the workshop is to explicate values, concepts and perspectives that usually remain tacitly embedded in the designed artefacts and, as such, hard to appreciate as proper HRI contributions. The expected outcome of the workshop is a set of methodological recommendations and concrete examples of what kind of knowledge can be generated through robotic artefacts.

Original languageEnglish
Title of host publicationHRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE
Pages1269-1271
Number of pages3
ISBN (Electronic)978-1-5386-8554-9, 978-1-6654-0731-1
DOIs
Publication statusPublished - 2022
Event17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 - Sapporo, Japan
Duration: 7 Mar 202210 Mar 2022

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2022-March
ISSN (Electronic)2167-2148

Conference

Conference17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Country/TerritoryJapan
CitySapporo
Period7/03/2210/03/22

Keywords

  • Annotated Portfolios
  • Designerly HRI
  • Intermediate-Level Knowledge
  • Robotic Artefacts

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