A Survey of Control Mechanisms for Creative Pattern Generation. (4th June 2021)

• Record Type: Journal Article
• Authors: Gieseke, Lena; Asente, Paul; Měch, Radomír; Benes, Bedrich; Fuchs, Martin
• Is Part Of: Computer graphics forum. Volume 40:Number 2(2021)
• Page Start: 585
• Page End: 609
• Publication Date: 2021-06-04
• Subjects: Computing methodologies → Computer graphics -- Human‐centered computing → Interaction design process and methods; Interaction design theory, concepts and paradigms;Systems and tools for interaction design; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.142658
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: We review recent methods in 2D creative pattern generation and their control mechanisms, focusing on procedural methods. The review is motivated by an artist's perspective and investigates interactive pattern generation as a complex design problem. While the repetitive nature of patterns is well‐suited to algorithmic creation and automation, an artist needs more flexible control mechanisms for adaptable and inventive designs. We organize the state of the art around pattern design features, such as repetition, frames, curves, directionality, and single visual accents. Within those areas, we summarize and discuss the techniques' control mechanisms for enabling artist intent. The discussion includes questions of how input is given by the artist, what type of content the artist inputs, where the input affects the canvas spatially, and when input can be given in the timeline of the creation process. We categorize the available control mechanisms on an algorithmic level and categorize their input modes based on exemplars, parameterization, handling, filling, guiding, and placing interactions. To better understand the potential of the current techniques for creative design and to make such an investigation more manageable, we motivate our discussion with how navigation, transparency, variation, and stimulation enable creativity. We conclude our review by identifying possible new directions that can inspire innovation for artist‐centered creation processes and algorithms.