A single marine overlay display is more efficient than separate chart and radar displays

Donderi, D. C.; McFadden, Sharon

doi:10.1016/j.displa.2004.01.002

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…While trained engineering students detected faults in the plain physical schematic faster than in the more complex model (the four-panel model was worst), they diagnosed and corrected faults fastest on the information-rich superimposed display. Donderi and McFadden (2003) tested both professional mariners and university undergraduates on a question-answering task based on marine electronic radar and chart displays. Efficiency (accuracy/speed) to answer display-based questions was better for both observer groups when the radar image was superimposed over the chart image, resulting in a display noticeably more complex than when the radar and chart displays were presented side by side.…”

Section: Visual Displaysmentioning

confidence: 99%

Visual complexity: A review.

Donderi

2006

Psychological Bulletin

232

201

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The idea of visual complexity, the history of its measurement, and its implications for behavior are reviewed, starting with structuralism and Gestalt psychology at the beginning of the 20th century and ending with visual complexity theory, perceptual learning theory, and neural circuit theory at the beginning of the 21st. Evidence is drawn from research on single forms, form and texture arrays and visual displays. Form complexity and form probability are shown to be linked through their reciprocal relationship in complexity theory, which is in turn shown to be consistent with recent developments in perceptual learning and neural circuit theory. Directions for further research are suggested.

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Section: Visual Displaysmentioning

confidence: 99%

Visual complexity: A review.

Donderi

2006

Psychological Bulletin

232

201

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“…Where the application of JPEG compression techniques is perhaps more justified is in the measurement of images such as electronic charts and radar screens (Donderi, 2006a(Donderi, , 2006bDonderi & McFadden, 2003). In these highly detailed and colorized environments, JPEG compression file sizes can correlate highly with subjective measures of image complexity (between 25% and 85% of the variance).…”

Section: Measuring Complexity: Why Should Automated Measurement Be Pomentioning

confidence: 99%

Confounds in pictorial sets: The role of complexity and familiarity in basic-level picture processing

2008

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Complexity is conventionally defined as the level of detail or intricacy contained within a picture. The study of complexity has received relatively little attention-in part, because of the absence of an acceptable metric. Traditionally, normative ratings of complexity have been based on human judgments. However, this study demonstrates that published norms for visual complexity are biased. Familiarity and learning influence the subjective complexity scores for nonsense shapes, with a significant training X familiarity interaction [F(1,52) = 17.53,

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“…The compressed file length of electronic chart, radar and chart-radar overlay displays predicts their subjective complexity (Donderi, 2004;Donderi, 2000;Donderi, 1999;Donderi & McFadden, 2004, 1999. This experiment shows that compressed file length also predicts target search performance for the same displays.…”

Section: Introductionmentioning

confidence: 99%

Compressed File Length Predicts Search Time and Errors on Visual Displays

Donderi

McFadden

2005

Proceedings of the Human Factors and Ergonomics Society Annual

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Search times and errors were recorded for targets (a triangle or trapezoid) in marine radar, chart, and radar-chart overlay bitmap computer displays. Lossless JPEG and ZIP compressed file lengths were obtained for each display. The two types of file length were correlated and they predicted both the maximum time to search each display and the number of errors made per search. Compressed file length is analogous to algorithmic complexity, a theoretical measure of bit string complexity. It predicts both subjective complexity judgments (previous research) and search performance (this study) for a set of static marine electronic displays. The data suggest that compressed file length will predict minimum anticipated performance in a range of applied visual search tasks

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A single marine overlay display is more efficient than separate chart and radar displays

Cited by 7 publications

References 10 publications

Visual complexity: A review.

Visual complexity: A review.

Confounds in pictorial sets: The role of complexity and familiarity in basic-level picture processing

Compressed File Length Predicts Search Time and Errors on Visual Displays

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