Multi-finger and whole hand gestural interaction techniques for multi-user tabletop displays

By Mike Wu, Ravin Balakrishnan. ACM Symposium on User Interface Software and Technology, 2003

526 citations recorded by the source corpus.

Recent advances in sensing technology have enabled a new generation of tabletop displays that can sense multiple points of input from several users simultaneously. However, apart from a few demonstration techniques [17], current user interfaces do not take advantage of this increased input bandwidth. We present a variety of multifinger and whole hand gestural interaction techniques for these displays that leverage and extend the types of actions that people perform when interacting on real physical tabletops. Apart from gestural input techniques, we also explore interaction and visualization techniques for supporting shared spaces, awareness, and privacy. These techniques are demonstrated within a prototype room furniture layout application, called RoomPlanner.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/bbd13d2f92aeb08d73978e8958a12f793f175b8c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

  1. Andrew D. Wilson
  2. Patrick Baudisch
  3. Hrvoje Benko
  4. Jacob O. Wobbrock
  5. Meredith Ringel Morris
  6. Jefferson Y. Han
  7. Jeffrey P. Bigham
  8. Chia Shen

In Human-Computer Interaction

  1. Andrew D. Wilson
  2. Patrick Baudisch
  3. Meredith Ringel Morris
  4. Jacob O. Wobbrock
  5. Hrvoje Benko
  6. Jefferson Y. Han
  7. Terry Winograd
  8. Jeffrey P. Bigham

Citations in the corpus