TRÊSmoj!: an investigation of new character design processes in an automated creativity context.
character design, generative artificial intelligence, design methods, semiotics, TRÊSmoji.
In a context where computational creativity is gaining increasing momentum and image production can be done large-scaled and at high speed, the task of generating genuinely original ideas is increasingly challenging. Therefore, it is very important to explore new ways to facilitate alternatives generation processes. This research aims to explore the potential of TRÊSmoji, a tool developed by Silva (2021), and its practical applications for character design in the contemporary narrative media industry. Secondary objectives involve investigating the tool, analyzing the impact of automated image generator tools on TRÊSmoji’s processes, and evaluating the tool’s usability by potential users. The research is anchored in a theoretical foundation that combines Design, Computer Science, and Linguistics, and the methodology follows the Basic Design Cycle proposed by Roozenburg and Eekels, encompassing two methodological cycles: the first one involves experiments using participant observation, while the second cycle tests the tool with potential users. Although research findings are still undergoing investigation, there are indications that TRÊSmoji exhibits broad utility and adaptability for different contexts. Additionally, it is believed that the tool can evolve into different versions, collectively referred to as “TRÊSmoj!.