Robot Dominance Expression Through Parameter-based Behaviour Modulation

Rifca Peters*, Joost Broekens, Kangqi Li, Mark Neerincx

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

A mayor challenge in human-robot interaction is the synthesis of social signals through non-verbal behaviour expression. Appropriate perception and expression of dominance (verticality) is essential for social interaction. In this paper, we present our work on algorithmic modulation of robot bodily movement to control dominance expression. We developed a parameter-based model for body expansiveness. This model was applied to a variety of behaviours and evaluated by human observers in two different studies with respectively static postures (N=772) and gestures (N=31). Modulation of body expansiveness proved to robustly influence perceived dominance independent of behaviour and viewing angles.

Original languageEnglish
Title of host publicationIVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents
Subtitle of host publicationProceedings of the 19th ACM International Conference on Intelligent Virtual Agents
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages224-226
Number of pages3
ISBN (Electronic)9781450366724
ISBN (Print)978-1-4503-6672-4
DOIs
Publication statusPublished - 2019
Event19th ACM International Conference on Intelligent Virtual Agents, IVA 2019 - Paris, France
Duration: 2 Jul 20195 Jul 2019

Publication series

NameIVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents

Conference

Conference19th ACM International Conference on Intelligent Virtual Agents, IVA 2019
Country/TerritoryFrance
CityParis
Period2/07/195/07/19

Keywords

  • Body language
  • Dominance
  • Expression
  • Modulation
  • Non-verbal behaviour
  • Perception
  • Social robotics
  • Social signal
  • Synthesis

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