Probabilistic multiparty dialogue management for a game master robot

Casey Kennington, Kotaro Funakoshi, Yuki Takahashi, Mikio Nakano

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

5 Scopus citations

Abstract

We present our ongoing research on multiparty dialogue management for a game master robot which engages multiple human participants to play a quiz game. The robot invites passing people to join the game, instructs participants on the rules of the game, and leads them in the game. The robot has to manage people leaving and coming at arbitrary times. Our approach maintains a dialogue manager for each participant, and a module takes a final action with each decision cycle; responsible to decide "what/whom/when to say". We have implemented the dialogue manager with a probabilistic rules approach [4] and made preliminary evaluations with our multiparty human-robot game dialogue data that was collected in a WoZ fashion.

Original languageEnglish
Title of host publicationHRI 2014 - Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages200-201
Number of pages2
ISBN (Print)9781450326582
DOIs
StatePublished - 2014
Event9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014 - Bielefeld, Germany
Duration: 3 Mar 20146 Mar 2014

Publication series

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

Conference

Conference9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014
Country/TerritoryGermany
CityBielefeld
Period3/03/146/03/14

Keywords

  • dialogue management
  • multiparty dialogue
  • technology-centered

EGS Disciplines

  • Computer Sciences

Fingerprint

Dive into the research topics of 'Probabilistic multiparty dialogue management for a game master robot'. Together they form a unique fingerprint.

Cite this