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MULTISIMO

MULTImodal and MULTIparty Social Interactions MOdelling

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MULTISIMO" data sheet

The following table provides information about the project.

Coordinator
THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN 

Organization address
address: College Green
city: DUBLIN
postcode: 2
website: www.tcd.ie

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Ireland [IE]
 Project website http://multisimo.eu/
 Total cost 175˙866 €
 EC max contribution 175˙866 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2018-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN IE (DUBLIN) coordinator 175˙866.00

Map

 Project objective

The project addresses the modelling of multimodal communicative human behaviour during natural interactions in multiparty settings and specifically the conversational and feedback strategies of the interaction participants in terms of attention, engagement and conflict management. The knowledge base for this modelling problem will be a collection of human-human interaction recordings to be acquired through a concise experimental protocol and state-of-the-art equipment. The communicative behavior will be analysed in multimodal signals, including facial expressions, gaze and prosodic cues that provide information about social interaction management and speakers’ attitudes. This information becomes more complex in group interactions, where a management mechanism will be discovered and modelled. These low-level signals will be examined in relation to their timing and sequence to infer and model high-level signals of attention, engagement and conflict, and subsequently implement modules to feed existing HCI interfaces such as dialogue systems or avatars. The implementation of such novel models will allow for the creation of more sophisticated human-like agent-based interfaces of high quality communication experience, especially in scenarios where social and cognitive skills, in addition to the communicative ones, are crucial for the success of the interaction, i.e. in the education, customer care domains and web applications requiring interfaces triggered by human communication. The project builds on the strengths of the applicant in multimodal communication and language technology, and combines these with new training in intelligent systems and human-computer interaction to support a new research direction and to strengthen cross-European collaboration. The host provides an excellent supportive environment conducive to the interdisciplinary research envisaged in the project and the training objectives of the fellowship in view of the applicant’s career development.

 Publications

year authors and title journal last update
List of publications.
2018 Maria Koutsombogera, Carl Vogel
Speech Pause Patterns in Collaborative Interaction Management
published pages: , ISSN: , DOI:
Innovations in Big Data Mining and Embedded Knowledge: Domestic and Social Context Challenges 2019-05-09
2018 Evangelos Kapros, Maria Koutsombogera
Introduction: User Experience in and for Learning
published pages: 1-13, ISSN: , DOI: 10.1007/978-3-319-94794-5_1
Designing for the User Experience in Learning Systems 2019-05-09
2018 Maria Koutsombogera, Carl Vogel
Modeling Collaborative Multimodal Behavior in Group Dialogues: The MULTISIMO Corpus
published pages: 2945-2951, ISSN: , DOI:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) 2019-05-09
2018 Maria Koutsombogera, Rachel Costello, Carl Vogel
Quantifying dominance in the Multisimo corpus
published pages: , ISSN: , DOI:
Proceedings of the 9th IEEE Conference on Cognitive Infocommunications 2019-05-09
2018 Carl Vogel, Maria Koutsombogera, Rachel Costello
Analyzing Likert Scale Inter-Annotator Disagreement
published pages: , ISSN: , DOI:
Neural Networks, Smart Innovation, Systems and Technologies Series (Proceedings of the WIRN2018 Conference 2019-05-09
2018 Justine Reverdy, Maria Koutsombogera, Carl Vogel
Linguistic Repetition in Three-Party Conversations
published pages: , ISSN: , DOI:
Neural Networks, Smart Innovation, Systems and Technologies Series (Proceedings of the WIRN2018 Conference 2019-05-09

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The information about "MULTISIMO" are provided by the European Opendata Portal: CORDIS opendata.

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