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Comparison of Path Visualizations and Cognitive Measures Relative to Travel Technique in a Virtual Environment

Published: 01 November 2005 Publication History

Abstract

We describe a between-subjects experiment that compared four different methods of travel and their effect on cognition and paths taken in an immersive virtual environment (IVE). Participants answered a set of questions based on Crook's condensation of Bloom's taxonomy that assessed their cognition of the IVE with respect to knowledge, understanding and application, and higher mental processes. Participants also drew a sketch map of the IVE and the objects within it. The users' sense of presence was measured using the Steed-Usoh-Slater Presence Questionnaire. The participants' position and head orientation were automatically logged during their exposure to the virtual environment. These logs were later used to create visualizations of the paths taken. Path analysis, such as exploring the overlaid path visualizations and dwell data information, revealed further differences among the travel techniques. Our results suggest that, for applications where problem solving and evaluation of information is important or where opportunity to train is minimal, then having a large tracked space so that the participant can walk around the virtual environment provides benefits over common virtual travel techniques.

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  1. Comparison of Path Visualizations and Cognitive Measures Relative to Travel Technique in a Virtual Environment

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      cover image IEEE Transactions on Visualization and Computer Graphics
      IEEE Transactions on Visualization and Computer Graphics  Volume 11, Issue 6
      November 2005
      147 pages

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      IEEE Educational Activities Department

      United States

      Publication History

      Published: 01 November 2005

      Author Tags

      1. Index Terms- Evaluation
      2. information visualization
      3. navigation
      4. virtual reality.

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      • (2024)APF-S2T: Steering to Target Redirection Walking Based on Artificial Potential FieldsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.337205230:5(2464-2473)Online publication date: 4-Mar-2024
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