JOURNAL ARTICLE

Exploring Interactive Color Palettes for Abstraction-Driven Exploratory Image Colorization

Abstract

Color design is essential in areas such as product, graphic, and fashion design. However, current tools like Photoshop, with their concrete-driven color manipulation approach, often stumble during early ideation, favoring polished end results over initial exploration. We introduced Mondrian as a test-bed for abstraction-driven approach using interactive color palettes for image colorization. Through a formative study with six design experts, we selected three design options for visual abstractions in color design and developed Mondrian where humans work with abstractions and AI manages the concrete aspects. We carried out a user study to understand the benefits and challenges of each abstraction format and compare the Mondrian with Photoshop. A survey involving 100 participants further examined the influence of each abstraction format on color composition perceptions. Findings suggest that interactive visual abstractions encourage a non-linear exploration workflow and an open mindset during ideation, thus providing better creative affordance.

Keywords:
Mondrian Abstraction Computer science Human–computer interaction Affordance Workflow Mindset Multimedia Artificial intelligence Painting Visual arts Art

Metrics

7
Cited By
3.71
FWCI (Field Weighted Citation Impact)
34
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Visual Attention and Saliency Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Aesthetic Perception and Analysis
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Color perception and design
Social Sciences →  Psychology →  Social Psychology

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