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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 |
Files in This Item:
File | Description | Size | Format | |
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Damian_PeripheralFeedback_2014.pdf | Published version | 3.47 MB | Adobe PDF | View/Open |
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