25/04/2020

Manipulation, Learning, and Recall with Tangible Pen-Like Input

Lisa Elkin, Jean-Baptiste Beau, Géry Casiez, Daniel Vogel

Keywords: pen input, tangible interfaces, learning, command selection

Abstract: We examine two key human performance characteristics of a pen-like tangible input device that executes a different command depending on which corner, edge, or side contacts a surface. The manipulation time when transitioning between contacts is examined using physical mock-ups of three representative device sizes and a baseline pen mock-up. Results show the largest device is fastest overall and minimal differences with a pen for equivalent transitions. Using a hardware prototype able to sense all 26 different contacts, a second experiment evaluates learning and recall. Results show almost all 26 contacts can be learned in a two-hour session with an average of 94

The video of this talk cannot be embedded. You can watch it here:
https://www.youtube.com/watch?v=EptL37mE7F0
(Link will open in new window)
 0
 0
 0
 0
This is an embedded video. Talk and the respective paper are published at CHI 2020 virtual conference. If you are one of the authors of the paper and want to manage your upload, see the question "My papertalk has been externally embedded..." in the FAQ section.

Comments

Post Comment
no comments yet
code of conduct: tbd Characters remaining: 140

Similar Papers