Design issues for vision-based computer interaction systems

Abstract

Computer Vision and other direct sensing technologies have progressed to the point where we can detect many aspects of a user's activity reliably and in real time. Simply recognizing the activity is not enough, however. If perceptual interaction is going to become a part of the user interface, we must turn our attention to the tasks we wish to perform and methods to effectively perform them.This paper attempts to further our understanding of vision-based interaction by looking at the steps involved in building practical systems, giving examples from several existing systems. We classify the types of tasks well suited to this type of interaction as pointing, control or selection, and discuss interaction techniques for each class. We address the factors affecting the selection of the control action, and various types of control signals that can be extracted from visual input. We present our design for widgets to perform different types of tasks, and techniques, similar to those used with established user interface devices, to give the user the type of control they need to perform the task well. We look at ways to combine individual widgets into Visual Interfaces that allow the user to perform these tasks both concurrently and sequentially.