Robust eye contact detection in natural multi-person interactions using gaze and speaking behaviour

P Müller, MX Huang, X Zhang, A Bulling - Proceedings of the 2018 ACM …, 2018 - dl.acm.org
Eye contact is one of the most important non-verbal social cues and fundamental to human
interactions. However, detecting eye contact without specialised eye tracking equipment …

A multimodal-sensor-enabled room for unobtrusive group meeting analysis

I Bhattacharya, M Foley, N Zhang, T Zhang… - Proceedings of the 20th …, 2018 - dl.acm.org
Group meetings can suffer from serious problems that undermine performance, including
bias," groupthink", fear of speaking, and unfocused discussion. To better understand these …

Predicting gaze from egocentric social interaction videos and imu data

SK Thakur, C Beyan, P Morerio, A Del Bue - Proceedings of the 2021 …, 2021 - dl.acm.org
Gaze prediction in egocentric videos is a fairly new research topic, which might have several
applications for assistive technology (eg, supporting blind people in their daily interactions) …

REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wild

JV Quiros, C Raman, S Tan, E Gedik… - arXiv preprint arXiv …, 2024 - arxiv.org
Recognizing speaking in humans is a central task towards understanding social
interactions. Ideally, speaking would be detected from individual voice recordings, as done …

Improved visual focus of attention estimation and prosodic features for analyzing group interactions

L Zhang, M Morgan, I Bhattacharya, M Foley… - 2019 International …, 2019 - dl.acm.org
Collaborative group tasks require efficient and productive verbal and non-verbal interactions
among the participants. Studying such interaction patterns could help groups perform more …

The unobtrusive group interaction (UGI) corpus

I Bhattacharya, M Foley, C Ku, N Zhang… - Proceedings of the 10th …, 2019 - dl.acm.org
Studying group dynamics requires fine-grained spatial and temporal understanding of
human behavior. Social psychologists studying human interaction patterns in face-to-face …

[HTML][HTML] Classifying the emotional speech content of participants in group meetings using convolutional long short-term memory network

MM Morgan, I Bhattacharya, RJ Radke… - The Journal of the …, 2021 - pubs.aip.org
Emotion is a central component of verbal communication between humans. Due to
advances in machine learning and the development of affective computing, automatic …

Multimodality in Group Communication Research

R Lange, BF Welles, G Sharma, RJ Radke… - arXiv preprint arXiv …, 2024 - arxiv.org
Team interactions are often multisensory, requiring members to pick up on verbal, visual,
spatial and body language cues. Multimodal research, research that captures multiple …

Towards a model of nonverbal leadership in unstructured joint physical activity

R Niewiadomski, L Chauvigne, M Mancini… - Proceedings of the 5th …, 2018 - dl.acm.org
In this paper, we propose a set of algorithms to compute the cues of the nonverbal
leadership in an unstructured joint full-body physical activity, ie, the joint activity of two or …

Unobtrusive analysis of group interactions without cameras

I Bhattacharya - Proceedings of the 20th ACM International Conference …, 2018 - dl.acm.org
Group meetings are often inefficient, unorganized and poorly documented. Factors
including" group-think," fear of speaking, unfocused discussion, and bias can affect the …