Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27538
Title: Towards Peripheral Feedback-based Realtime Social Behaviour Coaching
Authors: Ionut, Damian
SCHOENING, Johannes 
Bauer, Tobias
LUYTEN, Kris 
TAN, Chiew Seng Sean 
André, Elisabeth
Issue Date: 2014
Publisher: ACM
Source: Proceedings of NordiCHI 2014 workshop on Interactions and Applications on See-through Technologies, ACM,
Abstract: An important part of the information transfer in human-human communication is conducted nonverbally and often even unconsciously. Thus, controlling the information flow in such an interaction proves to be a difficult task, a fact which can cause various social problems. This paper explores the use of wearable computing, augmentation concepts and social signal processing for realtime behaviour coaching. The goal here is to help the user be more aware of her or his nonverbal behaviour during human-human interaction and to provide feedback on how to improve it.
Keywords: Peripheral Feedback; Behaviour Analysis; Social Signal Processing; Realtime; Computer-Enhanced Interaction
Document URI: http://hdl.handle.net/1942/27538
Rights: Authors maintain the copyright.
Category: C2
Type: Proceedings Paper
Appears in Collections:Research publications

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