Paper
2 June 2000 Visual conspicuity of objects in complex scenes
Theo Boersema, Harm J. G. Zwaga
Author Affiliations +
Proceedings Volume 3959, Human Vision and Electronic Imaging V; (2000) https://doi.org/10.1117/12.387189
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
In many everyday situations people have to locate a particular object in a cluttered environment, for instance a routing sign among commercial signs in an airport terminal. The object's conspicuity determines the efficiency of the search. The literature on human visual search does not unequivocally answer the question how a cluttered environment affects target conspicuity. A method was developed and validated to measure target conspicuity and the effect of distractors, using the case of routing signs (blue with white lettering) and commercial signs (non-blue) in large public buildings as a vehicle. The stimulus fields are complex, computer-generated images, which mimic natural scenes in public buildings but have no apparent meaning. Target conspicuity is operationalized as the time a subject needs to locate the target; this search time is derived from the subject's eye movements. To avoid artifacts of perceptual learning, the number of trials per subject is limited. Experiments in which this method was used clearly demonstrated that conspicuity results from the combined action of the object's own physical properties in relation to those of its environment and of the observer's perceptual and cognitive properties and current intention. Thus, conspicuity never depends merely on the characteristics of the visual stimulus.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Theo Boersema and Harm J. G. Zwaga "Visual conspicuity of objects in complex scenes", Proc. SPIE 3959, Human Vision and Electronic Imaging V, (2 June 2000); https://doi.org/10.1117/12.387189
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KEYWORDS
Visualization

Buildings

Eye

Perceptual learning

Visual process modeling

Computer simulations

Environmental sensing

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