Categories of environmental scenes☆
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Cited by (224)
Window Expeditions: A playful approach to crowdsourcing natural language descriptions of everyday lived landscapes
2022, Applied GeographyCitation Excerpt :To further delve deeper into the semantics of the contributions, we explored nouns commonly used in English and German before comparing our corpus to general English and a corpus of landscape image descriptions. This approach allows us to identify basic level terms (Tversky & Hemenway, 1983) with respect to landscape descriptions. Basic levels are important, since they capture informative linguistic distinctions whilst minimising superfluous additional information in language.
Architectural experience: Clarifying its central components and their relation to core affect with a set of first-person-view videos
2022, Journal of Environmental PsychologyAssessing the potential of social media for estimating recreational use of urban and peri-urban forests
2021, Urban Forestry and Urban GreeningStreets of London: Using Flickr and OpenStreetMap to build an interactive image of the city
2020, Computers, Environment and Urban SystemsCitation Excerpt :Particularly predominant with respect to the characterisation of cities has been research using Flickr, most likely due to relatively stable access, and the ability to query using a range of different dimensions including location. Early research demonstrated that clustering image locations and their descriptions could provide tractable ways of describing space (Rattenbury & Naaman, 2009), and showed how perceptual theory (for example, with respect to the elements tagged) was replicated in such data (Rorissa, 2008; Tversky & Hemenway, 1983). The predominance of toponyms as tags led to a wide range of work focussing on the delineation of vague regions, analogous to the districts described by Lynch Hollenstein & Purves, 2010; Hobel, Fogliaroni, & Frank, 2016; Gao et al., 2017).
The information content of scene categories
2019, Psychology of Learning and Motivation - Advances in Research and Theory
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This research was supported by NSF Grant BSN 8002012 and by NIMH Grant MH-34248 to Stanford University.