Creative AI for HRI Design Explorations

Marius Hoggenmueller, Maria Luce Lupetti, Willem Van Der Maden, Kazjon Grace

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

1 Citation (Scopus)
18 Downloads (Pure)

Abstract

Design fixation, a phenomenon describing designers' adherence to pre-existing ideas or concepts that constrain design outcomes, is particularly prevalent in human-robot interaction (HRI), for example, due to collectively held and stabilised imaginations of what a robot should look like or behave. In this paper, we explore the contribution of creative AI tools to overcome design fixation and enhance creative processes in HRI design. In a four weeks long design exploration, we used generative text-to-image models to ideate and visualise robotic artefacts and robot sociotechnical imaginaries. We exchanged results along with reflections through a digital postcard format. We demonstrate the usefulness of our approach to imagining novel robot concepts, surfacing existing assumptionsand robot stereotypes, and situating robotic artefacts in context.We discuss the contribution to designerly HRI practices and conclude with lessons learnt for using creative AI tools as an emerging design practice in HRI research and beyond.

Original languageEnglish
Title of host publicationHRI 2023 - Companion of the ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE
Pages40-50
Number of pages11
ISBN (Electronic)978-1-4503-9970-8
DOIs
Publication statusPublished - 2023
Event18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 - Stockholm, Sweden
Duration: 13 Mar 202316 Mar 2023

Publication series

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

Conference

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

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • creative AI
  • design research
  • generative AI
  • human-robot interaction
  • ideation
  • sociotechnical imaginaries
  • text-to-image models

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