Traces: Embodied Immersive Interaction with Semi Autonomous Avatars - Robotics Institute Carnegie Mellon University

Traces: Embodied Immersive Interaction with Semi Autonomous Avatars

Simon G. Penny, Jeffrey Smith, and Phoebe Sengers
Journal Article, Convergence: The International Journal of Research into New Media Technologies, Vol. 7, No. 2, pp. 47 - 65, June, 2001

Abstract

Traces is an artwork for the CAVE that uses a novel machine vision system to enable unencumbered full body interaction with a range of semi-autonomous agents without the imposition of any sort of textual, iconic or encoded-gestural interfaces and without physically restrictive wiring, pointing devices, or headgear. Furthermore, Traces does not consist of a ``world'' which is ``navigated''; instead, the movement of the user through the space leaves volumetric and spatial-acoustic residues of user movement which slowly decay. This project was motivated by a desire to explore and critique four central issues in contemporary HCI: (a) embodied interaction with computational systems; (b) rapid and transparent learning of interfaces by untrained users (the autopedagogic interface); (c) immersive bodily interaction with software agents, (d) extension and elaboration of the general conception of ``interactivity'' itself. To explore these issues, we built an infra-red multi-camera machine vision system which constructs a volumetric model of the whole of the users' body in real time. We have also developed custom 3D vision tools, graphical techniques and a range of techniques for generating and managing semi-autonomous agents in immersive environments.

BibTeX

@article{Penny-2001-16801,
author = {Simon G. Penny and Jeffrey Smith and Phoebe Sengers},
title = {Traces: Embodied Immersive Interaction with Semi Autonomous Avatars},
journal = {Convergence: The International Journal of Research into New Media Technologies},
year = {2001},
month = {June},
volume = {7},
number = {2},
pages = {47 - 65},
keywords = {Machine vision, CAVE, infrared video, wireless tracking, full-body interaction, autopedagogy, semi-autonomous agents},
}