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Title: Informing Intelligent User Interfaces by Inferring Affective States from Body Postures in Ubiquitous Computing Environments
Authors: TAN, Chiew Seng Sean 
SCHOENING, Johannes 
CONINX, Karin 
Issue Date: 2013
Publisher: ACM
Source: Proceedings of the IUI'13 International Conference on Intelligent User Interfaces
Abstract: Intelligent User Interfaces can benefit from having knowledge on the user’s emotion. However, current implementations to detect affective states, are often constraining the user’s freedom of movement by instrumenting her with sensors. This prevents affective computing from being deployed in naturalistic and ubiquitous computing contexts. In this paper, we present a novel system called mASqUE, which uses a set of association rules to infer someone’s affective state from their body postures. This is done without any user instrumentation and using off-the-shelf and non-expensive commodity hardware: a depth camera tracks the body posture of the users and their postures are also used as an indicator of their openness. By combining the posture information with physiological sensors measurements we were able to mine a set of association rules relating postures to affective states. We demonstrate the possibility of inferring affective states from body postures in ubiquitous computing environments and our study also provides insights how this opens up new possibilities for IUI to access the affective states of users from body postures in a nonintrusive way.
Keywords: Social Behavior; Emotion Recognition; Ubicomp; Intelligent User Interfaces.
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ISBN: 978-1-4503-1965-2
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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