Modelling Engagement in Multi-Party Conversations : Data-Driven Approaches to Understanding Human-Human Communication Patterns for Use in Human-Robot Interactions
The aim of this thesis is to study human-human interaction in order to provide virtual agents and robots with the capability to engage into multi-party-conversations in a human-like-manner. The focus lies with the modelling of conversational dynamics and the appropriate realization of multi-modal fe...
Main Author: | Oertel, Catharine |
---|---|
Format: | Doctoral Thesis |
Language: | English |
Published: |
KTH, Tal, musik och hörsel, TMH
2016
|
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-198175 http://nbn-resolving.de/urn:isbn:978-91-7729-237-1 |
Similar Items
-
Engagement in Human-Agent Interaction: An Overview
by: Catharine Oertel, et al.
Published: (2020-08-01) -
Understanding and communicating intentions in human-robot interaction
by: Morvan, Jérémy
Published: (2015) -
Towards an Engagement-Aware Attentive Artificial Listener for Multi-Party Interactions
by: Catharine Oertel, et al.
Published: (2021-07-01) -
Understanding Robots : The Effects of Conversational Strategies on the Understandability of Robot-Robot Interactions from a Human Standpoint
by: Chen, Hung Chiao, et al.
Published: (2020) -
Understanding Human Gaze as a Nonverbal Communication Cue in Human-Robot Interaction
by: Giovanni Ventilii, et al.
Published: (2018)