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Towards Building an Attentive Artificial Listener: On the Perception of Attentiveness in Feedback Utterances
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-8273-0132
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-0397-6442
2016 (English)In: Proceedings of Interspeech 2016, San Fransisco, USA, 2016Conference paper (Refereed)
Place, publisher, year, edition, pages
San Fransisco, USA, 2016.
National Category
Computer Science Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-198174ISI: 000390299900007ScopusID: 2-s2.0-84994246003OAI: oai:DiVA.org:kth-198174DiVA: diva2:1055848
Conference
Interspeech 2016
Note

QC 20161214

Available from: 2016-12-13 Created: 2016-12-13 Last updated: 2017-01-16Bibliographically approved
In thesis
1. Modelling Engagement in Multi-Party Conversations: Data-Driven Approaches to Understanding Human-Human Communication Patterns for Use in Human-Robot Interactions
Open this publication in new window or tab >>Modelling Engagement in Multi-Party Conversations: Data-Driven Approaches to Understanding Human-Human Communication Patterns for Use in Human-Robot Interactions
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

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 feedback behaviour. For such an undertaking, it is important to understand how human-human communication unfolds in varying contexts and constellations over time. To this end, multi-modal human-human corpora are designed as well as annotation schemes to capture conversational dynamics are developed. Multi-modal analysis is carried out and models are built. Emphasis is put on not modelling speaker behaviour in general and on modelling listener behaviour in particular.

In this thesis, a bridge is built between multi-modal modelling of conversational dynamics on the one hand multi-modal generation of listener behaviour in virtual agents and robots on the other hand. In order to build this bridge, a unit-selection multi-modal synthesis is carried out as well as a statistical speech synthesis of feedback. The effect of a variation in prosody of feedback token on the perception of third-party observers is evaluated. Finally, the effect of a controlled variation of eye-gaze is evaluated, as is the perception of user feedback in human-robot interaction.​

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2016. 87 p.
Series
TRITA-CSC-A, ISSN 1653-5723 ; 2017:05
National Category
Engineering and Technology
Research subject
Human-computer Interaction
Identifiers
urn:nbn:se:kth:diva-198175 (URN)978-91-7729-237-1 (ISBN)
Public defence
2017-01-20, F3, Lindstedtsvägen 26, Kungl Tekniska högskolan, Stockholm, 13:00 (English)
Opponent
Supervisors
Note

QC 20161214

Available from: 2016-12-14 Created: 2016-12-13 Last updated: 2016-12-14Bibliographically approved

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