Literature DB >> 30507535

Scene Transitions and Teleportation in Virtual Reality and the Implications for Spatial Awareness and Sickness.

Kasra Moghadam, Colin Banigan, Eric D Ragan.   

Abstract

Various viewing and travel techniques are used in immersive virtual reality to allow users to see different areas or perspectives of 3D environments. Our research evaluates techniques for visually showing transitions between two viewpoints in head-tracked virtual reality. We present four experiments that focus on automated viewpoint changes that are controlled by the system rather than by interactive user control. The experiments evaluate three different transition techniques (teleportation, animated interpolation, and pulsed interpolation), different types of visual adjustments for each technique, and different types of viewpoint changes. We evaluated how differences in transition can influence a viewer's comfort, sickness, and ability to maintain spatial awareness of dynamic objects in a virtual scene. For instant teleportations, the experiments found participants could most easily track scene changes with rotational transitions without translational movements. Among the tested techniques, animated interpolations allowed significantly better spatial awareness of moving objects, but the animated technique was also rated worst in terms of sickness, particularly for rotational viewpoint changes. Across techniques, viewpoint transitions involving both translational and rotational changes together were more difficult to track than either individual type of change.

Entities:  

Year:  2018        PMID: 30507535     DOI: 10.1109/TVCG.2018.2884468

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  The Open Gallery for Arts Research (OGAR): An open-source tool for studying the psychology of virtual art museum visits.

Authors:  Rebekah M Rodriguez-Boerwinkle; Martin J Boerwinkle; Paul J Silvia
Journal:  Behav Res Methods       Date:  2022-04-25

2.  Scene Classification in the Environmental Art Design by Using the Lightweight Deep Learning Model under the Background of Big Data.

Authors:  Lu Liu
Journal:  Comput Intell Neurosci       Date:  2022-06-13
  2 in total

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