FontMatcher: Font Image Paring for Harmonious Digital Graphic Design

Generative AI (Text, Image, Music, Video)Visualization Perception & CognitionGraphic Design & Typography ToolsUI/UX DesignersProduct DesignersVisual Artists & Designers

One of the important aspects in graphic design is choosing the font of the caption that matches aesthetically the associated image. To obtain a good match, users would exhaustively examine a long font list requiring them a substantial effort. This paper presents FontMatcher, which supports users to design digital graphic works harmoniously pairing fonts with an image. The system provides three features, recommendation, explaination and feedback. If a warm feeling image is given as input, the system recommends warm feeling fonts, and then explains what is the distinguishing features of the recommendation, e.g. a cursive shape. Users can also provide feedback to find fonts which correspond to their intention. The evaluation results show that the recommended fonts scored better than selected fonts by novices and provides competing results with the ones chosen by experienced graphic designers. The explanations help increasing the reliability of the recommended results.

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https://hci.top/en/papers/iui/5915/2018

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Paper Snapshot

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Source
IUI
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Year
2018
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Authors
3 authors
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Subtopics
Generative AI (Text, Image, Music, Video), Visualization Perception & Cognition, Graphic Design & Typography Tools
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Professions
UI/UX Designers, Product Designers, Visual Artists & Designers
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Content Status
Abstract only
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