Paper
15 April 1994 Effective use of stereoptic 3D cueing to declutter complex flight displays
Steven P. Williams, Russell V. Parrish, Dean E. Nold
Author Affiliations +
Proceedings Volume 2177, Stereoscopic Displays and Virtual Reality Systems; (1994) https://doi.org/10.1117/12.173879
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
Abstract
This paper reports a workstation experiment to verify the potential of stereo cueing for the declutter function in a simulated tracking task. The experimental task was designed as similar to tracking in a conventional flight director, although the format presented was a very cluttered dynamic display. The subject's task was to use a hand-controller to keep a tracking symbol on top of a target symbol. In the basic tracking task, the target symbol is presented as a red `X' and the tracking symbol as a blue `X,' which provides some declutter and makes the task more reasonable in terms of performance. The color coding was removed in one display condition to provide some additional clutter. For this condition, both the target and tracking symbols are presented as red `Xs.' Additional clutter was provided by the inclusion of moving, differently colored `X' symbols. Stereo depth was utilized by placing any clutter in a plane in front of the display monitor, placing the tracking symbol at screen depth, and placing the target symbol behind the screen. The results from eight subjects revealed that the stereo presentation effectively offset the cluttering effects.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven P. Williams, Russell V. Parrish, and Dean E. Nold "Effective use of stereoptic 3D cueing to declutter complex flight displays", Proc. SPIE 2177, Stereoscopic Displays and Virtual Reality Systems, (15 April 1994); https://doi.org/10.1117/12.173879
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KEYWORDS
3D displays

Visualization

Head

3D image processing

Collimation

Situational awareness sensors

Statistical analysis

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