CHI 2014: Interactive Surfaces and Pervasive Displays

Pervasive Information Through Constant Personal Projection by Christian Winkler

  • AMP-D: interactive personal ambient display that projects on floor near device; constant personal projection; course augmented reality; interaction on floor, hand, mobile
  • mobile devices disconnect from immediate environment; this helps reconnect
  • the world as a display: content – static, environment, dynamic, urgent; where – the ground; how – boxes and spheres; when – static, relative to fixed location, with user, with timeouts; interaction – body movement, selection with hand, preview and binary decisions with hand gestures, transfer to/from phone, deselect/remove/snooze; privacy – no projection of private info on floor, only in hand
  • implementation: DLP projector with servo focus, depth camera, inertia sensor, hand/finger tracking; continuous interaction space, continuous information space

Bigger Is Not Always Better: Display Size, Performance, and Task Load During Peephole Map Navigation by Roman Radle

  • dynamic peephole navigation: display is window to larger information space; how small can a peephole be without overburdening for navigation; tablet size seems to be the sweet spot
  • navigation behavior: learning – scan the space, navigation – memory and landmarks for direct access
  • experiment: simulated peephole size on a large display with 3D pointer; navigate to 4 target pins as quickly and accurately as possible with 4 distractor pins; vary peephole size from projector to mobile projector to tablet to phone
  • results: long learning phase time lengths dropped to stable navigation phase; larger peepholes facilitate learning by reducing path length to view information space and better performance; no significant difference in navigation phase performance

Mechanical Force Redistribution: Enabling Seamless, Large-Format, High-Accuracy Surface Interaction by Alex Grau

  • MFR: high density force interaction with low density sensors; arbitrarily large sensor matts at relatively low costs; can be used with many sensor types; scan and interpolate between the forcels (force pixels); resolution dependent on force sensor and space between them
  • cool demo of 121ppi hand sensor; multi-touch and hires position and pressure tracking
  • uses: automotive interiors; display walls; industrial; yoga mat sized for consumers, developers, and researchers – kickstarter later this year, hope to sell for $250 each

Effects of Display Size and Navigation Type on a Classification Task by Can Liu

  • displays getting larger and higher resolution; larger displays promote physical navigation but problematic for some uses such as desktop tasks; previous research hasn't looked at data manipulation tasks
  • is a wall display than a desktop for classification tasks?
  • experiment: abstract classification task; does a wall outperform a desktop in high information density and task difficulty? 12 participants
  • results: desktop worked best on low info density; wall worked much better for high info density
  • why? different number of pick and drop actions? no difference; virtual zoom distortion? no difference; physical move distances? no difference at high density; reach range and trajectories? desktop condenses reach range requiring more pan and zoom, with more restrictions on trajectory, even if using overview or fisheye techniques
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