| 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.identifier.issn | 1017-4656 | |
| dc.identifier.uri | https://doi.org/10.2312/egs.20191015 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egs20191015 | |
| 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.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 |
| dc.description.seriesinformation | Eurographics 2019 - Short Papers | |
| dc.description.sectionheaders | Learning and Networks | |
| dc.identifier.doi | 10.2312/egs.20191015 | |
| dc.identifier.pages | 61-64 | |
