DiamondTouch: a multi-user touch technology
Proceedings of the 14th annual ACM symposium on User interface software and technology
Territoriality in collaborative tabletop workspaces
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Enhancing Multi-user Interaction with Multi-touch Tabletop Displays Using Hand Tracking
ACHI '08 Proceedings of the First International Conference on Advances in Computer-Human Interaction
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Touch & connect and touch & select: interacting with a computer by touching it with a mobile phone
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Search on surfaces: Exploring the potential of interactive tabletops for collaborative search tasks
Information Processing and Management: an International Journal
PhoneTouch: a technique for direct phone interaction on surfaces
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Medusa: a proximity-aware multi-touch tabletop
Proceedings of the 24th annual ACM symposium on User interface software and technology
Personal clipboards for individual copy-and-paste on shared multi-user surfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CameraMatch: automatic recognition of subjects using smartphones-toward entertaining photo sessions
CHI '13 Extended Abstracts on Human Factors in Computing Systems
SWINGNAGE: gesture-based mobile interactions on distant public displays
Proceedings of the 2013 ACM international conference on Interactive tabletops and surfaces
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Determining who is interacting with a multi-user interactive touch display is challenging. We describe a technique for associating multi-touch interactions to individual users and their accelerometer-equipped mobile devices. Real-time device accelerometer data and depth camera-based body tracking are compared to associate each phone with a particular user, while body tracking and touch contacts positions are compared to associate a touch contact with a specific user. It is then possible to associate touch contacts with devices, allowing for more seamless device-display multi-user interactions. We detail the technique and present a user study to validate and demonstrate a content exchange application using this approach.