Optimal Information Placement in an Interactive 3D Environment

Priyesh N. Dixit and G. Michael Youngblood
Game Intelligence Group, Games + Learning Lab
The University of North Carolina at Charlotte
College of Computing and Informatics, Department of Computer Science
9201 University City Blvd, Charlotte, NC 28223-0001
{pndixit, youngbld}@uncc.edu

Abstract:
The correct placement of important artifacts and information in interactive three-dimensional (3D) environments is important to ensure that those key artifacts and information are seen and absorbed by the immersed user. This can include training information, advertisements, clues, interaction points, and other information that needs to be conveyed to or manipulated by the user. We propose a novel algorithm for calculating the optimal positioning of such artifacts and information based on a corpus of prior play testers, which are used to determine distance-weighted and radially focused observation densities on surfaces of interactive 3D environments. We have developed a tool called HIIVVE (Highly Interactive Information Value Visualization and Evaluation) which allows for interactive evaluation as well as offline processing of the information value surfaces. A user study involving information placement using the calculated information value surfaces and observation densities shows that higher valued locations do yield improved user observation by as much as 58.3%.

Presentation:
Priyesh N. Dixit and G. Michael Youngblood, "Optimal Information Placement in an Interactive 3D Environment", ACM Sandbox Symposium, 2007, Quicktime Slides from Keynote. [2.8 MB]

Paper:
Priyesh N. Dixit and G. Michael Youngblood, "Optimal Information Placement in an Interactive 3D Environment", ACM Sandbox Symposium, 2007, pp. 141-147. [2.1 MB]

Software:
Priyesh N. Dixit and G. Michael Youngblood, Highly Interactive Information Value Visualization and Evaluation (HIIVE), Application Software, playground.uncc.edu/GameIntelligenceGroup/Software/CGUL, Copyright (C) 2007, GPLv2 licensed.
(Part of the Common Games Understanding and Learning [CGUL] Toolkit scheduled for mid-fall 2007 release)

Links:
Urban Combat Testbed (Public release of UCT scheduled for September 2007)

Copyright (C) 2007 Priyesh N. Dixit and G. Michael Youngblood.
Game Intelligence Group, Games + Learning Lab
Department of Computer Science, College of Computing and Informatics
The University of North Carolina at Charlotte