Font Specificity

dc.contributor.author	Power, Luther	en_US
dc.contributor.author	Lau, Manfred	en_US
dc.contributor.editor	Cignoni, Paolo and Miguel, Eder	en_US
dc.date.accessioned	2019-05-05T17:49:54Z
dc.date.available	2019-05-05T17:49:54Z
dc.date.issued	2019
dc.description.abstract	We explore the concept of ''image specificity'' for fonts and introduce the notion of ''font specificity''. The idea is that a font that elicits consistent descriptions from different people are more ''specific''. We collect specificity-based data for fonts where participants are given each font and asked to describe it with words. We then analyze the data and characterize the qualitative features that make a font ''specific''. Finally, we show that the notion of font specificity can be learned and demonstrate some specificity-guided applications.	en_US
dc.description.sectionheaders	Learning and Networks
dc.description.seriesinformation	Eurographics 2019 - Short Papers
dc.identifier.doi	10.2312/egs.20191015
dc.identifier.issn	1017-4656
dc.identifier.pages	61-64
dc.identifier.uri	https://doi.org/10.2312/egs.20191015
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/egs20191015
dc.publisher	The Eurographics Association	en_US
dc.subject	Computing methodologies
dc.subject	Perception
dc.subject	Human
dc.subject	centered computing
dc.subject	Human computer interaction (HCI)
dc.title	Font Specificity	en_US

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