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Mixed Reality Benefits For Design Perception Phillip S. Dunston, Ph.D. and Xiangyu Wang Construction Engineering and Management School of Civil Engineering Purdue University, West Lafayette, IN Co-Authors: Mark Billinghurst, Ph. D. (Human Interface Technology Laboratory of New Zealand) and Ben Hampson (McKinstry Co., Seattle) 19 th ISARC Gaithersburg, MD September 2002

Mixed Reality Benefits For Design Perception Phillip S. Dunston, Ph.D. and Xiangyu Wang Construction Engineering and Management School of Civil Engineering

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Mixed Reality Benefits For Design Perception

Phillip S. Dunston, Ph.D. and Xiangyu WangConstruction Engineering and Management

School of Civil Engineering

Purdue University, West Lafayette, IN

Co-Authors: Mark Billinghurst, Ph. D. (Human Interface Technology Laboratory of New Zealand) and Ben Hampson (McKinstry Co., Seattle)

19th ISARCGaithersburg, MDSeptember 2002

Outline

Introduction AR CAD system Issues in Spatial Cognition Experimental Methodology Results Discussion Conclusion and Future Directions

Introduction Mixed Reality

Mixed Reality (MR): an environment where real world and virtual world objects are presented together on a single display (Milgram & Kishino 1994; Milgram and Colquhoun 1999).

Mixed Reality (MR)

AugmentedReality (AR)

AugmentedVirtuality (AV)

Reality-Virtuality (RV) Continuum

RealEnvironment

(RE)

VirtualEnvironment

(VE)

Introduction Industrial AR Applications

(Azuma et al. 2001 by courtesy of Siemens Corporate Research)

AR Viewing of Underground Utilities (Roberts et al. 2002)

Introduction

Planning Phase

Design Phase

Construction Phase

Maintenance Phase

Conceptual Design

Construction Documents

(Plans and Specs)

As-built Plans

We are here right now

Information Interfaces Involved in the Project Life Cycle

Introduction

Mixed Reality

Augmented Reality

AR CAD System

Focus on mechanical detailing

AR CAD System Hardware

The AR CAD system consists of the following components • Modeling computer: Running AutoCAD or other modeling

software. • AR computer: Running the Augmented Reality viewing

software.• Video Camera: Logitech QuickCam Pro 3000.

Components of AR CAD Prototype

AR CAD System Tracking Technology

The Process of Video-Based Marker Detection and Overlay of Virtual Objects

AR CAD System Tracking Technology

User View of Virtual Objects in Augmented Reality (AR) Scene

AR CAD System Tracking Technology

User View of Virtual Objects in Augmented Reality (AR) Scene

Issues in Spatial Cognition

Spatial cognition is the internalized reflection and reconstruction of space in thought (Hart and Moore, 1973).

Why explore spatial cognition?• To understand the structure (coding) of the mental

models and the process of utilizing those mental models (decoding).

• To most efficiently present and effect spatial information via the human-computer interface.

Issues in Spatial Cognition Main Process

Main Processes of Human Spatial Cognition

• Extracting process: obtaining spatial information from physical space.

• Storage or encoding process: building a memory representation from visual perception.

• Decoding process: retrieving information from memory for decision making.

Issues in Spatial Cognition Cognition Cost

Cognition CostIndication of the effort required by different mental transformations associated with changes and factors involved in switching viewing perspectives.

Issues in Spatial Cognition Viewpoint Comparison

Viewpoint Comparison between AR and AutoCAD

Experimental Methodology Objective

Primary Objective:

To determine whether standard AutoCAD or AR CAD (AutoCAD + AR view) is more effective in the task of conflict detection with respect to the cognition cost associated with scene/perspective changes.

Experimental Methodology Interference Detection

Wire Frame Representation of Object Interferences

Results Discussion

)()(ˆ

gn TMY

)()()()()()( )( kkijgn GGSPTMY

)()( gn TMY

= Estimated time value Y

Results Discussion

)()(ˆ

gn TMY

Combination Mean Value(sec) Median Value(sec)

AutoCAD®+P1 196.75 134.50

AR CAD+P1 50.75 49.50

AutoCAD®+P2 74.75 65.50

AR CAD+P2 28.50 27.00

Mean and Median Value of Each Combination

Conclusion and Future Directions

Conclusion• AR CAD can be a worthwhile viewer assistant for

identifying interferences without increasing a detailer’s overall time due to the cognition cost associated with perspective switching.

Future Directions• Continued exploration of human interface issues, e.g., spatial

cognition• Computer Supported Cooperative Work (CSCW)

Conclusion and Future Directions

Collaborative work Concept by Andrei State at University of North Carolina at Chapel Hill

Questions?

Dr. Phillip S. Dunston

765-494-0640

[email protected]

Mr. Xiangyu Wang

[email protected]