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Modeling Dominance in Group Conversations Using Nonverbal Activity Cues
TLDR
We present a systematic study on dominance modeling in group meetings from fully automatic nonverbal activity cues, in a multi-camera, multi-microphone setting. Expand
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Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition
TLDR
We present a multimodal analysis of emergent leadership in small groups using audio-visual features and discuss our experience in designing and collecting a data corpus for this purpose. Expand
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Predicting two facets of social verticality in meetings from five-minute time slices and nonverbal cues
TLDR
This paper addresses the automatic estimation of two aspects of social verticality (status and dominance) in small-group meetings using nonverbal cues. Expand
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Linking speaking and looking behavior patterns with group composition, perception, and performance
TLDR
This paper addresses the task of mining typical behavioral patterns from small group face-to-face interactions and linking them to social-psychological group variables such as group composition, group interpersonal perception and group performance. Expand
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The vernissage corpus: A conversational Human-Robot-Interaction dataset
TLDR
We introduce a new conversational Human-Robot-Interaction (HRI) dataset with a real-behaving robot inducing interactive behavior with and between humans. Expand
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Predicting student engagement in classrooms using facial behavioral cues
TLDR
In this work, we analyze the engagement or attention level of students from their facial expressions, headpose and eye gaze using computer vision techniques and a decision is taken using machine learning algorithms. Expand
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Human Activity Recognition Using Temporal Convolutional Network
TLDR
We propose to use the Temporal Convolutional Network architecture for recognizing the activities from the sensor data obtained from a smartphone. Expand
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Investigating automatic dominance estimation in groups from visual attention and speaking activity
TLDR
We study the automation of the visual dominance ratio (VDR); a classic measure of displayed dominance in social psychology literature, which combines both gaze and speaking activity cues. Expand
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Recognizing conversational context in group interaction using privacy-sensitive mobile sensors
TLDR
The availability of mobile sociometric sensors allows Computer-Supported Cooperative Work (CSCW) designers the possibility to enhance online meeting support through automatic recognition of conversational context. Expand
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Discovering group nonverbal conversational patterns with topics
TLDR
This paper addresses the problem of discovering conversational group dynamics from nonverbal cues extracted from thin-slices of interaction. Expand
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