Explore the words cloud of the MULTISIMO project. It provides you a very rough idea of what is the project "MULTISIMO" about.
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 contact info |
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 |
Take a look of project's partnership.
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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 |
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.
year | authors and title | journal | last update |
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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.