Paper
24 October 1988 Perception Of "Features" And "Objects": Applications To The Design Of Instrument Panel Displays
Douglas Poynter, Alan J. Czarnomski
Author Affiliations +
Proceedings Volume 0958, Automotive Displays and Industrial Illumination; (1988) https://doi.org/10.1117/12.947712
Event: SPIE International Symposium on Optical Engineering and Industrial Sensing for Advance Manufacturing Technologies, 1988, Dearborn, MI, United States
Abstract
An experiment was conducted to determine whether socalled feature displays allow for faster and more accurate processing compared to object displays. Previous psychological studies indicate that features can be processed in parallel across the visual field, whereas objects must be processed one at a time with the aid of attentional focus. Numbers and letters are examples of objects; line orientation and color are examples of features. In this experiment, subjects were asked to search displays composed of up to 16 elements for the presence of specific elements. The ability to detect, localize, and identify targets was influenced by display format. Digital errors increased with the number of elements, the number of targets, and the distance of the target from the fixation point. Line orientation errors increased only with the number of targets. Several other display types were evaluated, and each produced a pattern of errors similar to either digital or line orientation format. Results of the study were discussed in terms of Feature Integration Theory, which distinguishes between elements that are processed with parallel versus serial mechanisms.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Douglas Poynter and Alan J. Czarnomski "Perception Of "Features" And "Objects": Applications To The Design Of Instrument Panel Displays", Proc. SPIE 0958, Automotive Displays and Industrial Illumination, (24 October 1988); https://doi.org/10.1117/12.947712
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KEYWORDS
Target detection

Visualization

Error analysis

Analog electronics

Sensors

Parallel computing

Visual system

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