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Human Visual Behaviour for Collaborative Human-Machine Interaction

Andreas Bulling

Adj. Proc. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pp. 903-907, 2015.


Abstract

Non-verbal behavioural cues are fundamental to human communication and interaction. Despite significant advances in recent years, state-of-the-art human-machine systems still fall short in sensing, analysing, and fully "understanding" cues naturally expressed in everyday settings. Two of the most important non-verbal cues, as evidenced by a large body of work in experimental psychology and behavioural sciences, are visual (gaze) behaviour and body language. We envision a new class of collaborative human-machine systems that fully exploit the information content available in non-verbal human behaviour in everyday settings through joint analysis of human gaze and physical behaviour.

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BibTeX

@inproceedings{bulling15_ubicomp, title = {Human Visual Behaviour for Collaborative Human-Machine Interaction}, author = {Bulling, Andreas}, doi = {10.1145/2800835.2815378}, pages = {903-907}, year = {2015}, booktitle = {Adj. Proc. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)} }