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.[1][2] It is used in architecture and city planning, in psycholinguistics,[3] and in automated computer vision research.[4] In automated image recognition, training models to connect images with concepts that have low imageability can lead to biased and harmful results.[4]
^Lynch, Kevin, 1918-1984. (1960). The image of the city. Cambridge, Mass.: MIT Press. ISBN 0-262-12004-6. OCLC 230082.{{cite book}}: CS1 maint: multiple names: authors list (link) CS1 maint: numeric names: authors list (link)
^Dellantonio, Sara; Job, Remo; Mulatti, Claudio (2014-04-03). "Imageability: now you see it again (albeit in a different form)". Frontiers in Psychology. 5: 279. doi:10.3389/fpsyg.2014.00279. ISSN 1664-1078. PMC 3982064. PMID 24765083.
^Paivio, Allan; Yuille, John C.; Madigan, Stephen A. (1968). "Concreteness, imagery, and meaningfulness values for 925 nouns". Journal of Experimental Psychology. 76 (1, Pt.2): Suppl:1–25. doi:10.1037/h0025327. ISSN 0022-1015. PMID 5672258.
^ abYang, Kaiyu; Qinami, Klint; Fei-Fei, Li; Deng, Jia; Russakovsky, Olga (2020-01-27). "Towards fairer datasets: Filtering and balancing the distribution of the people subtree in the ImageNet hierarchy". Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. FAT* '20. New York, NY, USA: Association for Computing Machinery. pp. 547–558. arXiv:1912.07726. doi:10.1145/3351095.3375709. ISBN 978-1-4503-6936-7. S2CID 209386709.
organization in city imageability: An information processing analysis". Journal of Environmental Psychology. Smolík Filip (2019-05-21). "Imageability and Neighborhood...
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