Generative comics - A computational approach to creating comics material
Digital storytelling can be employed as a tool that incorporates human creativity with technology. It synthesizes multimedia based elements to create engaging stories and compelling narratives. To this end, this research presents an approach that can be used as an assistant tool for comics artists. It focuses on generating comics-based narratives through a system that integrates three main components in the creation process, which are: agent-based system which generates raw narrative material based on the behavior of the system’s agents, an interactive evolution process where the author participate in the creation process, and comics generating engine that creates final comics as outputs. The general scope of the research is to construct a generative system that has the ability to create comics and fictional characters. The research utilizes the method of Research through Design (RtD) which favors evolution and iteration of the construction of the artifact based on trial and error to better solve complex design problems (Smith & Dean, 2014). Relevant aspects of computer science, visual arts, comics and storytelling have been combined together to form a unified research project that can answer the research questions: how can digital technology be employed in generating comics; how can it contribute to the creation of novel art forms; and how can it help artists in their creative practice. Through a review of generative comics researches, four categories are identified: Unified Comics Generators which investigate methods for generating both the story structure and its visual comics-based representation, Comics Elements Generators which explore various techniques for generating or employing particular comics elements such as panels, splashes, speech bubbles, and others, Visual Representation Generators which rely on importing the content from other narrative sources such as video games, video streaming, or chatting conversations through social media, and Generative Comics Installations which produce and present comic stories in a form of exhibited installations by capturing and manipulating live pictures of the audience. Research findings are discussed in terms of story characterization, the generated stories, and the comics visual representation. The constructed system showed high flexibility, scalability, competency, and capability that entitle it to be employed in various applications for different purposes.
Parts of work
Nairat, M., Dahlstedt, P., & Nordahl, M.: "Character Evolution Approach to Generative Storytelling", In IEEE Congress of Evolutionary Computation (CEC), NewOrleans, pp1258–1263, 2011, DOI: 10.1109/CEC.2011.5949760.Nairat, M., Dahlstedt, P., & Nordahl, M.: "An Interactive Approach to Story Characterization", In IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC), pp. 56-62, 2013, DOI: 10.1109/CICAC.2013.6595221.Nairat, M., Dahlstedt, P., & Nordahl, M.: "Story Characterization Using Interactive Evolution in a Multi-Agent System", In International Conference on Evolutionary and Biologically Inspired Music and Art, vol. 7834, pp. 168-179, 2013, DOI: 10.1007/978-3-642-36955-1_15.Nairat, M., & Dahlstedt, P.: "Generative Comics: Review & Analysis", International Journal of Comic Art, vol. 21, No. 2, Fall/Winter 2019, pp 268-294.Nairat, M., Nordahl, M., Dahlstedt, P., "Generative comics: a character evolution approach for creating fictional comics", Digital Creativity, vol. 31, 2020, pp. 284, DOI: 10.1080/14626268.2020.1818584.Nairat, M. "Character in Fiction: Importance & Development Techniques", Submitted to Popular Culture Studies Journal, 2021.
Doctor of Philosophy
University of Gothenburg. IT Faculty
Department of Applied Information Technology ; Institutionen för tillämpad informationsteknologi
Friday 15 October 2021 at 14.00, Room 473, 4th floor, Department of Computer Science and Engineering, Hörselgången 5, Campus Lindholmen and online.
Date of defence