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Proceedings Paper

Predicting remote view performance for tasks with different visual information content
Author(s): Curtis S. Ikehara; Robert E. Cole; John O. Merritt
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Paper Abstract

Predictions of task performance based on the information required by the task, visual information acquired from the source, information transmission channel characteristics, and human information processing limitations are compared to actual performance on tasks viewed directly or remotely either monoscopically or stereoscopically, under different motion conditions. The tasks require varying amounts of information and channel capacity for proficient task completion and are based on the rapid sequential positioning task. The rapid sequential positioning task measures the time a subject takes to locate and tap an illuminated point source light target with a probe. Performance was measured using the task in a 3D and 3D plus motion configurations. The 3D plus motion configurations were given to subjects at four different movement speeds under different viewing conditions to test the effects of changing viewing bandwidth requirements. Subjects performed all tasks in a single session with data collected by computer. Data analysis involved the comparison of actual results with predictions derived from the Model Human Processor model and information theory. Results indicate that the requirements, availability, transmission, and human processing limitations of information are key components to task performance.

Paper Details

Date Published: 10 April 1996
PDF: 10 pages
Proc. SPIE 2653, Stereoscopic Displays and Virtual Reality Systems III, (10 April 1996); doi: 10.1117/12.237433
Show Author Affiliations
Curtis S. Ikehara, Univ. of Hawaii (United States)
Robert E. Cole, Univ. of Hawaii (United States)
John O. Merritt, Interactive Technologies (United States)

Published in SPIE Proceedings Vol. 2653:
Stereoscopic Displays and Virtual Reality Systems III
Mark T. Bolas; Mark T. Bolas; Scott S. Fisher; Scott S. Fisher; John O. Merritt, Editor(s)

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