Investigating Causality in Parent-Toddler-Robot Interaction

Omer Gvirsman, Goren Gordon

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

Abstract

Human robot interaction is often a very dynamic scenario, where both robots and humans perform verbal and non-verbal behaviors in response to each other. However, most user studies do not analyze the intricate dynamics of the interaction. Here, we present a novel methodology of a multi-participants, multi-dimensional, time-series Granger-causality analysis of a parent-toddler-robot triadic interaction. Our results show a specific causal flow of behaviors, namely, that the parent mediates the toddler-robot interaction by both verbal and non-verbal behaviors. Our proposed novel analysis can highly enrich understanding of the complex dynamics of human robot interaction.

Original languageEnglish
Title of host publicationHRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages502-506
Number of pages5
ISBN (Electronic)9798400703232
DOIs
StatePublished - 11 Mar 2024
Event19th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024 - Boulder, United States
Duration: 11 Mar 202415 Mar 2024

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction

Conference

Conference19th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024
Country/TerritoryUnited States
CityBoulder
Period11/03/2415/03/24

Keywords

  • Granger Causality
  • Non-verbal communication
  • Toddler robot interaction

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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