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Mixed Reality Benefits For Design Perception

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

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Mixed Reality Benefits For Design Perception

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  1. 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) 19th ISARC Gaithersburg, MD September 2002

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

  3. 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).

  4. Introduction Industrial AR Applications (Azuma et al. 2001 by courtesy of Siemens Corporate Research) AR Viewing of Underground Utilities (Roberts et al. 2002)

  5. Introduction We are here right now Planning Phase Conceptual Design Design Phase Construction Documents (Plans and Specs) Construction Phase As-built Plans Maintenance Phase Information Interfaces Involved in the Project Life Cycle

  6. Introduction Mixed Reality Augmented Reality Focus on mechanical detailing AR CAD System

  7. 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

  8. AR CAD System Tracking Technology The Process of Video-Based Marker Detection and Overlay of Virtual Objects

  9. AR CAD System Tracking Technology User View of Virtual Objects in Augmented Reality (AR) Scene

  10. AR CAD System Tracking Technology User View of Virtual Objects in Augmented Reality (AR) Scene

  11. 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.

  12. Issues in Spatial CognitionMain 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.

  13. Issues in Spatial CognitionCognition Cost Cognition Cost Indication of the effort required by different mental transformations associated with changes and factors involved in switching viewing perspectives.

  14. Issues in Spatial CognitionViewpoint Comparison Viewpoint Comparison between AR and AutoCAD

  15. Experimental MethodologyObjective 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.

  16. Experimental Methodology Interference Detection Wire Frame Representation of Object Interferences

  17. Results Discussion = Estimated time value

  18. Results Discussion Mean and Median Value of Each Combination

  19. 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)

  20. Conclusion and Future Directions Collaborative work Concept by Andrei State at University of North Carolina at Chapel Hill

  21. Questions? Dr. Phillip S. Dunston 765-494-0640 dunston@purdue.edu Mr. Xiangyu Wang wang0@purdue.edu

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