Honest Signals: How They Shape Our World
Honest Signals: How They Shape Our World
The impact of increased awareness while face-to-face
Human-Computer Interaction
Automatic nonverbal analysis of social interaction in small groups: A review
Image and Vision Computing
Proxemic interaction: designing for a proximity and orientation-aware environment
ACM International Conference on Interactive Tabletops and Surfaces
Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing
IEEE Transactions on Affective Computing
Sensing and reacting to users' interest: an adaptive public display
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Overt or subtle? Supporting group conversations with automatically targeted directives
Proceedings of the 19th international conference on Intelligent User Interfaces
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Ambient intelligence refers to a vision of technology where physical environments are sensitive and responsive to people. One of the challenges to realize this vision is to leverage information available in the social context. My doctoral research focuses on how to design interfaces that support co-located multi-user interactions taking into account individual and group nonverbal behavior, such as proxemics, gaze direction and body movements. In particular, the research activities are twofold: to understand which nonverbal cues and social signals reflect engagement, cooperation and cohesion in co-located group activities and to design systems that can handle and manage this social information. I present an integrated research approach for designing multi-user interactions based on social signal processing and I discuss the progress-to-date toward the development of systems that can sense and respond to social context.