114 citations · 225 across the 13 of their papers we have counts for
10 papers · 1 filter
Inferring Human Intentions from Predicted Action Probabilities
Lei Shi, Paul-Christian Bürkner, Andreas Bulling
Predicting the next action that a human is most likely to perform is key to human-AI collaboration and has consequently attracted increasing research interests in recent years. An…
Federated Learning for Appearance-based Gaze Estimation in the Wild
Mayar Elfares, Zhiming Hu, Pascal Reisert +2
Gaze estimation methods have significantly matured in recent years, but the large number of eye images required to train deep learning models poses significant privacy risks. In ad…
MultiMediate '22: Backchannel Detection and Agreement Estimation in Group Interactions
Philipp Müller, Michael Dietz, Dominik Schiller +5
Backchannels, i.e. short interjections of the listener, serve important meta-conversational purposes like signifying attention or indicating agreement. Despite their key role, auto…
Accurate and Robust Eye Contact Detection During Everyday Mobile Device Interactions
Mihai Bâce, Sander Staal, Andreas Bulling
Quantification of human attention is key to several tasks in mobile human-computer interaction (HCI), such as predicting user interruptibility, estimating noticeability of user int…
How far are we from quantifying visual attention in mobile HCI?
Mihai Bâce, Sander Staal, Andreas Bulling
With an ever-increasing number of mobile devices competing for our attention, quantifying when, how often, or for how long users visually attend to their devices has emerged as a c…
Emergent Leadership Detection Across Datasets
Philipp Müller, Andreas Bulling
Automatic detection of emergent leaders in small groups from nonverbal behaviour is a growing research topic in social signal processing but existing methods were evaluated on sing…