research-article

Improved Visual Focus of Attention Estimation and Prosodic Features for Analyzing Group Interactions

Authors:

Mallory Morgan,

Indrani Bhattacharya,

Christoph Riedl,

Brooke Foucault Welles,

Richard J. RadkeAuthors Info & Claims

ICMI '19: 2019 International Conference on Multimodal Interaction

Pages 385 - 394

https://doi.org/10.1145/3340555.3353761

Published: 14 October 2019 Publication History

Abstract

Collaborative group tasks require efficient and productive verbal and non-verbal interactions among the participants. Studying such interaction patterns could help groups perform more efficiently, but the detection and measurement of human behavior is challenging since it is inherently multimodal and changes on a millisecond time frame. In this paper, we present a method to study groups performing a collaborative decision-making task using non-verbal behavioral cues. First, we present a novel algorithm to estimate the visual focus of attention (VFOA) of participants using frontal cameras. The algorithm can be used in various group settings, and performs with a state-of-the-art accuracy of 90%. Secondly, we present prosodic features for non-verbal speech analysis. These features are commonly used in speech/music classification tasks, but are rarely used in human group interaction analysis. We validate our algorithms on a multimodal dataset of 14 group meetings with 45 participants, and show that a combination of VFOA-based visual metrics and prosodic-feature-based metrics can predict emergent group leaders with 64% accuracy and dominant contributors with 86% accuracy. We also report our findings on the correlations between the non-verbal behavioral metrics with gender, emotional intelligence, and the Big 5 personality traits.

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cover image ACM Other conferences

ICMI '19: 2019 International Conference on Multimodal Interaction

October 2019

601 pages

ISBN:9781450368605

DOI:10.1145/3340555

Editors:
Wen Gao
Peking University, China
,
Helen Mei Ling Meng
Chinese University of Hong Kong, China
,
Matthew Turk
Toyota Technological Institute at Chicago, USA
,
Susan R. Fussell
Cornell University, USA
,
Björn Schuller
Imperial College London / University of Augsburg, UK
,
Yale Song
Microsoft Research, USA
,
Kai Yu
Shanghai Jiao Tong University, China

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Published: 14 October 2019

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ICMI '19: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

October 14 - 18, 2019

Suzhou, China

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https://dl.acm.org/doi/10.1145/3610661.3617165
Li PLu HPoppe RSalah A(2023)Automated Detection of Joint Attention and Mutual Gaze in Free Play Parent-Child InteractionsCompanion Publication of the 25th International Conference on Multimodal Interaction10.1145/3610661.3616234(374-382)Online publication date: 9-Oct-2023
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