Real-Time Feedback Based on Nonverbal Behaviour to Enhance Social Dynamics in Small Group Meetings

Olga Kulyk; Jimmy Wang; Jacques Terken

doi:10.1007/11677482_13

Real-Time Feedback Based on Nonverbal Behaviour to Enhance Social Dynamics in Small Group Meetings

Olga Kulyk, Jimmy Wang, Jacques Terken

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

36 Citations (Scopus)

15 Downloads (Pure)

Abstract

We present a service providing real-time feedback to participants of small group meetings on the social dynamics of the meeting. The service visualizes non-verbal properties of people’s behaviour that are relevant to the social dynamics: speaking time and gaze behaviour. The service was evaluated in two studies, in order to test whether the feedback influences the participants’ visual attention and speaking time and enhances the satisfaction with the group interaction process. In a qualitative evaluation it was found thatgroups in general perceive the social feedback during the meeting as a useful and positive experience, which makes them aware of their group dynamics. In a second study, aiming at a more quantitative analysis, we obtained preliminary evidence that the feedback service affected participants’ behaviour and resulted in more balanced participation and gaze behaviour. We conclude that services providing automatic feedback about relatively low-level behavioural characteristics can enable groups to adjust the social dynamics in group meetings.

Original language	English
Title of host publication	Machine Learning for Multimodal Interaction
Subtitle of host publication	Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers
Editors	Steve Renals, Samy Bengio
Place of Publication	Berlin
Publisher	Springer
Pages	150-161
Number of pages	11
ISBN (Electronic)	978-3-540-32550-5
ISBN (Print)	978-3-540-32549-9
DOIs	https://doi.org/10.1007/11677482_13
Publication status	Published - 2006
Event	2nd International Workshop on Machine Learning for Multimodal Interaction, MLMI 2005 - Edinburgh, United Kingdom Duration: 11 Jul 2005 → 13 Jul 2005 Conference number: MLMI

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Volume	3869

Workshop

Workshop	2nd International Workshop on Machine Learning for Multimodal Interaction, MLMI 2005
Country/Territory	United Kingdom
City	Edinburgh
Period	11/07/05 → 13/07/05

Keywords

HMI-MI: MULTIMODAL INTERACTIONS
EC Grant Agreement nr.: FP6/506909
HMI-HF: Human Factors

Access to Document

10.1007/11677482_13

Cite this

Kulyk, O., Wang, J., & Terken, J. (2006). Real-Time Feedback Based on Nonverbal Behaviour to Enhance Social Dynamics in Small Group Meetings. In S. Renals, & S. Bengio (Eds.), Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers (pp. 150-161). (Lecture Notes in Computer Science; Vol. 3869). Springer. https://doi.org/10.1007/11677482_13

Kulyk, Olga ; Wang, Jimmy ; Terken, Jacques. / Real-Time Feedback Based on Nonverbal Behaviour to Enhance Social Dynamics in Small Group Meetings. Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers. editor / Steve Renals ; Samy Bengio. Berlin : Springer, 2006. pp. 150-161 (Lecture Notes in Computer Science).

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title = "Real-Time Feedback Based on Nonverbal Behaviour to Enhance Social Dynamics in Small Group Meetings",

abstract = "We present a service providing real-time feedback to participants of small group meetings on the social dynamics of the meeting. The service visualizes non-verbal properties of people{\textquoteright}s behaviour that are relevant to the social dynamics: speaking time and gaze behaviour. The service was evaluated in two studies, in order to test whether the feedback influences the participants{\textquoteright} visual attention and speaking time and enhances the satisfaction with the group interaction process. In a qualitative evaluation it was found thatgroups in general perceive the social feedback during the meeting as a useful and positive experience, which makes them aware of their group dynamics. In a second study, aiming at a more quantitative analysis, we obtained preliminary evidence that the feedback service affected participants{\textquoteright} behaviour and resulted in more balanced participation and gaze behaviour. We conclude that services providing automatic feedback about relatively low-level behavioural characteristics can enable groups to adjust the social dynamics in group meetings.",

keywords = "HMI-MI: MULTIMODAL INTERACTIONS, EC Grant Agreement nr.: FP6/506909, HMI-HF: Human Factors",

author = "Olga Kulyk and Jimmy Wang and Jacques Terken",

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pages = "150--161",

editor = "Steve Renals and Samy Bengio",

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Kulyk, O, Wang, J & Terken, J 2006, Real-Time Feedback Based on Nonverbal Behaviour to Enhance Social Dynamics in Small Group Meetings. in S Renals & S Bengio (eds), Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers. Lecture Notes in Computer Science, vol. 3869, Springer, Berlin, pp. 150-161, 2nd International Workshop on Machine Learning for Multimodal Interaction, MLMI 2005, Edinburgh, United Kingdom, 11/07/05. https://doi.org/10.1007/11677482_13

Real-Time Feedback Based on Nonverbal Behaviour to Enhance Social Dynamics in Small Group Meetings. / Kulyk, Olga; Wang, Jimmy; Terken, Jacques.
Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers. ed. / Steve Renals; Samy Bengio. Berlin: Springer, 2006. p. 150-161 (Lecture Notes in Computer Science; Vol. 3869).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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AU - Kulyk, Olga

AU - Wang, Jimmy

AU - Terken, Jacques

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AB - We present a service providing real-time feedback to participants of small group meetings on the social dynamics of the meeting. The service visualizes non-verbal properties of people’s behaviour that are relevant to the social dynamics: speaking time and gaze behaviour. The service was evaluated in two studies, in order to test whether the feedback influences the participants’ visual attention and speaking time and enhances the satisfaction with the group interaction process. In a qualitative evaluation it was found thatgroups in general perceive the social feedback during the meeting as a useful and positive experience, which makes them aware of their group dynamics. In a second study, aiming at a more quantitative analysis, we obtained preliminary evidence that the feedback service affected participants’ behaviour and resulted in more balanced participation and gaze behaviour. We conclude that services providing automatic feedback about relatively low-level behavioural characteristics can enable groups to adjust the social dynamics in group meetings.

KW - HMI-MI: MULTIMODAL INTERACTIONS

KW - EC Grant Agreement nr.: FP6/506909

KW - HMI-HF: Human Factors

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Kulyk O, Wang J, Terken J. Real-Time Feedback Based on Nonverbal Behaviour to Enhance Social Dynamics in Small Group Meetings. In Renals S, Bengio S, editors, Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers. Berlin: Springer. 2006. p. 150-161. (Lecture Notes in Computer Science). doi: 10.1007/11677482_13

Real-Time Feedback Based on Nonverbal Behaviour to Enhance Social Dynamics in Small Group Meetings

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Keywords

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