Imageability
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Imageability is a measure of how easily a physical object, word or environment will evoke a clear mental image in the mind of any person observing it. It is used in architecture and city planning, in psycholinguistics, and in automated computer vision research. In automated image recognition, training models to connect images with concepts that have low imageability can lead to biased and harmful results.
Imageability is a measure of how easily a physical object, word or environment will evoke a clear mental image in the mind of any person observing it. It is used in architecture and city planning, in psycholinguistics, and in automated computer vision research. In automated image recognition, training models to connect images with concepts that have low imageability can lead to biased and harmful results. Richardson, John T. E. (1975–05). "Concreteness and Imageability". Quarterly Journal of Experimental Psychology. Silva, Kapila Dharmasena (2015). "Developing Alternative Methods for Urban Imageability Research". McCunn, Lindsay J.; Gifford, Robert (2018-04-01). "Spatial navigation and place imageability in sense of place". Cities. Caplan, Jeremy B.; Madan, Christopher R. (2016-06-17). "Word Imageability Enhances Association-memory by Increasing Hippocampal Engagement". Journal of Cognitive Neuroscience Chmielewski S., Bochniak A., Natapov A., Wezyk P. (2020). "Introducing GEOBIA to Landscape Imageability Assessment". Remote Sensing.
Text derived from https://en.wikipedia.org/w/index.php?oldid=1344634887 under CC BY-SA 4.0; modifications have been made.