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Article

Automatic detection of interaction groups

Authors:

Oliver Brdiczka,

Jérôme Maisonnasse,

Patrick ReignierAuthors Info & Claims

ICMI '05: Proceedings of the 7th international conference on Multimodal interfaces

Pages 32 - 36

https://doi.org/10.1145/1088463.1088473

Published: 04 October 2005 Publication History

Abstract

This paper addresses the problem of detecting interaction groups in an intelligent environment. To understand human activity, we need to identify human actors and their interpersonal links. An interaction group can be seen as basic entity, within which individuals collaborate in order to achieve a common goal. In this regard, the dynamic change of interaction group configuration, i.e. the split and merge of interaction groups, can be seen as indicator of new activities. Our approach takes speech activity detection of individuals forming interaction groups as input. A classical HMM-based approach learning different HMM for the different group configurations did not produce promising results. We propose an approach for detecting interaction group configurations based on the assumption that conversational turn taking is synchronized inside groups. The proposed detector is based on one HMM constructed upon conversational hypotheses. The approach shows good results and thus confirms our conversational hypotheses.

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Cited By

Hedayati HSzafir D(2022)Predicting Positions of People in Human-Robot Conversational Groups2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI53351.2022.9889628(402-411)Online publication date: 7-Mar-2022
https://doi.org/10.1109/HRI53351.2022.9889628
Nagrath PDharana Dwivedi SNegi RSingh N(2022)Real-Time Anomaly Detection Surveillance SystemProceedings of Data Analytics and Management10.1007/978-981-16-6289-8_54(665-678)Online publication date: 4-Jan-2022
https://doi.org/10.1007/978-981-16-6289-8_54
Peña Pérez Negrón A(2021)How Do We Interact in Collaborative Virtual Reality?Latin American Women and Research Contributions to the IT Field10.4018/978-1-7998-7552-9.ch013(280-306)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-7552-9.ch013
Show More Cited By

Index Terms

Automatic detection of interaction groups
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Perception

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Published In

cover image ACM Conferences

ICMI '05: Proceedings of the 7th international conference on Multimodal interfaces

October 2005

344 pages

ISBN:1595930280

DOI:10.1145/1088463

General Chairs:
Gianni Lazzari
ITC-irst, Trento (Italy)
,
Fabio Pianesi
ITC-irst, Trento (Italy)
,
Program Chairs:
James Crowley
I.N.P. Grenoble (France)
,
Kenji Mase
Nagoya University (Japan)
,
Sharon Oviatt
Oregon Health & Sciences University

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 October 2005

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ICMI05

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ICMI05: Seventh International Conference on Multimodal Interfaces 2005

October 4 - 6, 2005

Torento, Italy

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Overall Acceptance Rate 453 of 1,080 submissions, 42%

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Cited By

Hedayati HSzafir D(2022)Predicting Positions of People in Human-Robot Conversational Groups2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI53351.2022.9889628(402-411)Online publication date: 7-Mar-2022
https://doi.org/10.1109/HRI53351.2022.9889628
Nagrath PDharana Dwivedi SNegi RSingh N(2022)Real-Time Anomaly Detection Surveillance SystemProceedings of Data Analytics and Management10.1007/978-981-16-6289-8_54(665-678)Online publication date: 4-Jan-2022
https://doi.org/10.1007/978-981-16-6289-8_54
Peña Pérez Negrón A(2021)How Do We Interact in Collaborative Virtual Reality?Latin American Women and Research Contributions to the IT Field10.4018/978-1-7998-7552-9.ch013(280-306)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-7552-9.ch013
Cho JRader E(2020)The Role of Conversational Grounding in Supporting Symbiosis Between People and Digital AssistantsProceedings of the ACM on Human-Computer Interaction10.1145/33928384:CSCW1(1-28)Online publication date: 29-May-2020
https://dl.acm.org/doi/10.1145/3392838
Qiu SGadiraju UBozzon A(2020)Estimating Conversational Styles in Conversational Microtask CrowdsourcingProceedings of the ACM on Human-Computer Interaction10.1145/33928374:CSCW1(1-23)Online publication date: 29-May-2020
https://dl.acm.org/doi/10.1145/3392837
Swofford MPeruzzi JTsoi NThompson SMartín-Martín RSavarese SVázquez M(2020)Improving Social Awareness Through DANTE: Deep Affinity Network for Clustering Conversational InteractantsProceedings of the ACM on Human-Computer Interaction10.1145/33928244:CSCW1(1-23)Online publication date: 29-May-2020
https://dl.acm.org/doi/10.1145/3392824
Amiriparian SHan JSchmitt MBaird AMallol-Ragolta AMilling MGerczuk MSchuller B(2019)Synchronization in Interpersonal SpeechFrontiers in Robotics and AI10.3389/frobt.2019.001166Online publication date: 8-Nov-2019
https://doi.org/10.3389/frobt.2019.00116
Wang HLi QZou Q(2019)Inpainting of Dunhuang Murals by Sparsely Modeling the Texture Similarity and Structure ContinuityJournal on Computing and Cultural Heritage 10.1145/328079012:3(1-21)Online publication date: 13-Jun-2019
https://dl.acm.org/doi/10.1145/3280790
Peña Pérez Negrón AMuñoz ELara López G(2019)A model for nonverbal interaction cues in collaborative virtual environmentsVirtual Reality10.1007/s10055-019-00421-wOnline publication date: 21-Dec-2019
https://doi.org/10.1007/s10055-019-00421-w
Russo DCiancarini PFalasconi TTomasi M(2018)A Meta-Model for Information Systems QualityACM Transactions on Management Information Systems10.1145/32307139:3(1-38)Online publication date: 26-Sep-2018
https://dl.acm.org/doi/10.1145/3230713
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