Multi-party Interaction with a Robot Receptionist

Meriam Moujahid, Helen Hastie, Oliver Lemon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We introduce a situated interactive robot receptionist that can coordinate turn-taking and handle multi-party engagement and dialogue in dynamic environments, where users might enter or leave the scene at any time. The objective is to create a multi-user engagement policy to manage turn-taking using the robot's gaze, head pose, and verbal communication as parameters and to analyse the participant's perception of the robot. Participant feedback on the system was collected using an online survey that allowed for a comparison of subjective feedback for 4 different interaction policies. The results confirm the hypothesis that a robot is perceived as more intelligent and conscious when it reacts using eye gaze or head pose, once a new user enters the scene. Furthermore, we find that robots need to use a combination of verbal and non-verbal cues to coordinate turn-taking, in order to be perceived as polite and aware of human social norms.

Original languageEnglish
Title of host publication17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
PublisherIEEE
Pages927-931
Number of pages5
ISBN (Electronic)9781538685549
DOIs
Publication statusPublished - 29 Sep 2022
Event17th Annual ACM/IEEE International Conference on Human-Robot Interaction 2022 - Online, Sapporo, Japan
Duration: 7 Mar 202210 Mar 2022
https://humanrobotinteraction.org/2022/

Conference

Conference17th Annual ACM/IEEE International Conference on Human-Robot Interaction 2022
Abbreviated titleHRI 2022
Country/TerritoryJapan
CitySapporo
Period7/03/2210/03/22
Internet address

Keywords

  • multi-party interaction
  • robot receptionist
  • situated interaction
  • Social robots

ASJC Scopus subject areas

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

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