Interactive surfaces facilitate direct and expressive multi-touch, multi-user interaction, providing a compelling platform for co-located collaboration. Surface computing systems, however, are typically unaware of different users. Consequently, touch input from different users remains indistinguishable and anonymous. In this thesis, we contribute to the body of surface computing research by proposing novel methods for user identification, and by demonstrating how the so enabled personalization facilitates new types of interaction. If touch input is associated to users, applications can personalize individual interactions without constraining other concurrent users. Personalization allows for a wide range of interaction techniques that are not obvious to realize without user identification. For instance, personal clipboards may enable independent copy-and-paste operations on a shared surface. User identification for surface computing must be immediately available and smoothly integrated with direct-touch input in order to not impede the prevailing fluid multi-touch interaction style. Vie present three novel methods for instantaneous user identification on vision-based interactive surfaces: Id Wristbands uses bracelets that emit infrared codes to identify individual finger touches, HandsDown is based on biometrics and allows users to identify by placing their hand flat on the surface, and Phone Touch employs mobile phones in a stylus-like fashion for identified direct-touch interaction. Albeit following distinct identification strategies, either method allows users to spontaneously identify at arbitrary locations directly on an interactive surface. We use IdWristbands, HandsDown, and PhoneTouch as basis for analyzing and exploring the design space of personalized interaction. We illustrate its opportunities and benefits by introducing a wide range of novel user-aware interaction techniques. In a user study, we show that instantaneous user identification and personalization conveniently facilitate interaction techniques that are otherwise not immediately accessible or difficult to realize.
Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:662189 |
Date | January 2012 |
Creators | Schmidt, Dominik |
Publisher | Lancaster University |
Source Sets | Ethos UK |
Detected Language | English |
Type | Electronic Thesis or Dissertation |
Page generated in 0.0023 seconds