Spatiotemporal Ideation  Generation with Interactive Evolutionary Design

Eisenmann, Jonathan; Lewis, Matthew; Parent, Rick

doi:10.1162/LEON_a_01102

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June 01 2016

Spatiotemporal Ideation Generation with Interactive Evolutionary Design

Jonathan Eisenmann,

Jonathan Eisenmann

Jonathan Eisenmann (researcher), Ohio State University, Advanced Computing Center for the Arts and Design (ACCAD), 331 Sullivant Hall, 1813 N. High Street, Columbus, OH 43210, U.S.A. Email: [email protected].

JONATHAN EISENMANN, a researcher and programmer, investigates problems related to interfaces and tools that enable artists and designers to create. He is a frequent presenter at EvoMUSART and other evolutionary computation conferences. As an interdisciplinary collaborator, he has contributed to projects with topics ranging from teaching genetic literacy to visualizing choreographic ideas. He has also worked as a global technology engineer on Pixar’s Monsters University and teaches courses on programming concepts for artists and designers at various colleges and universities. Eisenmann received his Ph.D. from the Department of Computer Science and Engineering at Ohio State University in 2014.

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Matthew Lewis,

Matthew Lewis

Matthew Lewis (systems developer), Ohio State University, Advanced Computing Center for the Arts and Design (ACCAD), 331 Sullivant Hall, 1813 N. High Street, Columbus, OH 43210, U.S.A. Email: [email protected].

MATTHEW LEWIS, a software developer and researcher at ACCAD, has taught graduate courses in interactive performance and installation technologies, virtual environments, digital lighting and procedural animation. He has presented evolutionary and generative art and design research at conferences internationally. His artwork has appeared on the cover of the journal Leonardo, in Performance Research and at the Wexner Center as part of the Synchronous Objects project. Recent research interests include 3D fabrication and augmented reality technologies.

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Rick Parent

Rick Parent (educator, retired), Ohio State University, Department of Computer Science Engineering, 395 Dreese Lab, 2015 Neil Avenue, Columbus, OH 43210, U.S.A. Email: [email protected].

RICK PARENT is a Professor Emeritus in the Computer Science Department of Ohio State University (OSU). As a graduate student, he worked at the Computer Graphics Research Group (CGRG) at OSU under the direction of Charles Csuri. In 1977, he received his Ph.D. from the Computer Science Department, majoring in artificial intelligence and subsequently joined the faculty in that department. His research interests include various aspects of computer animation with special focus on animation of the human figure. He is the author of Computer Animation: Algorithms and Techniques, published by Morgan Kaufmann.

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Author and Article Information

Jonathan Eisenmann

Jonathan Eisenmann (researcher), Ohio State University, Advanced Computing Center for the Arts and Design (ACCAD), 331 Sullivant Hall, 1813 N. High Street, Columbus, OH 43210, U.S.A. Email: [email protected].

JONATHAN EISENMANN, a researcher and programmer, investigates problems related to interfaces and tools that enable artists and designers to create. He is a frequent presenter at EvoMUSART and other evolutionary computation conferences. As an interdisciplinary collaborator, he has contributed to projects with topics ranging from teaching genetic literacy to visualizing choreographic ideas. He has also worked as a global technology engineer on Pixar’s Monsters University and teaches courses on programming concepts for artists and designers at various colleges and universities. Eisenmann received his Ph.D. from the Department of Computer Science and Engineering at Ohio State University in 2014.

Matthew Lewis

Matthew Lewis (systems developer), Ohio State University, Advanced Computing Center for the Arts and Design (ACCAD), 331 Sullivant Hall, 1813 N. High Street, Columbus, OH 43210, U.S.A. Email: [email protected].

MATTHEW LEWIS, a software developer and researcher at ACCAD, has taught graduate courses in interactive performance and installation technologies, virtual environments, digital lighting and procedural animation. He has presented evolutionary and generative art and design research at conferences internationally. His artwork has appeared on the cover of the journal Leonardo, in Performance Research and at the Wexner Center as part of the Synchronous Objects project. Recent research interests include 3D fabrication and augmented reality technologies.

Rick Parent

Rick Parent (educator, retired), Ohio State University, Department of Computer Science Engineering, 395 Dreese Lab, 2015 Neil Avenue, Columbus, OH 43210, U.S.A. Email: [email protected].

RICK PARENT is a Professor Emeritus in the Computer Science Department of Ohio State University (OSU). As a graduate student, he worked at the Computer Graphics Research Group (CGRG) at OSU under the direction of Charles Csuri. In 1977, he received his Ph.D. from the Computer Science Department, majoring in artificial intelligence and subsequently joined the faculty in that department. His research interests include various aspects of computer animation with special focus on animation of the human figure. He is the author of Computer Animation: Algorithms and Techniques, published by Morgan Kaufmann.

Online ISSN: 1530-9282

Print ISSN: 0024-094X

Leonardo (2016) 49 (3): 246–250.

https://doi.org/10.1162/LEON_a_01102

ABSTRACT

Interactive evolutionary design tools enable human intuition and creative decision-making in high-dimensional design domains while leaving technical busywork to the computer. Current evolutionary algorithms for interactive design tools accept only feedback about entire design candidates, not their parts, which can lead to user fatigue. This article describes several case studies in which designers used an enhanced interactive evolutionary design tool with region-of-interest feedback for character animation tasks. This enhanced interactive evolutionary design tool is called the Interactive Design with Evolutionary Algorithms and Sensitivity (IDEAS) tool. Designers’ feedback and narratives about their experiences with the tool show that interactive evolutionary algorithms can be made suitable for the ideation and generation of digital assets, even in time-varying domains.

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Spatiotemporal Ideation Generation with Interactive Evolutionary Design