Human-Computer Co-Creativity: Blending Human and Computational Creativity

Abstract

This paper describes a thesis exploring how computer programs can collaborate as equals in the artistic creative process. The proposed system, CoCo Sketch, encodes some rudimentary stylistic rules of abstract sketching and music theory to contribute supplemental lines and music while the user sketches. We describe a three-part research method that includes defining rudimentary stylistic rules for abstract line drawing, exploring the interaction design for artistic improvisation with a computer, and evaluating how CoCo Sketch affects the artistic creative process. We report on the initial results of early investigations into artistic style that describe cognitive, perceptual, and behavioral processes used in abstract artists making.

Creative geographies in the age of AI: Co‐creative spatiality and the emerging techno‐material relations between artists and artificial intelligence

“…One approach in computational creativity is so‐called human–computer co‐creativity (e.g., Davis, 2021; Feldman, 2017), with an aim to ‘facilitate human creativity via computationally creative means and vice versa’ (Kantosalo, 2019, p. 1). Whereas earlier computational agents were mostly seen as tools, in recent studies, creative AI has been considered more of a medium or partner to humans (Davis, 2021; Elgammal & Mazzone, 2020; Kantosalo & Toivonen, 2016). This is also the case with art‐generating AI algorithms that, according to Mazzone and Elgammal (2019), are closer to a medium than just inanimate objects or tools that artists use.…”

“…However, techno‐material perspectives on creativity have been less investigated within creative geographies (except for: Nordström, 2017; Rose, 2016; Woodward et al, 2015; Zebracki & Luger, 2019). We claim that AI expands the understandings of creativity due to its partly autonomous capacity to create novel outcomes together with humans (Davis, 2021; Feldman, 2017; Kantosalo & Toivonen, 2016). We ask what role AI plays in such creativity, what its spatial manifestations are, and what directions creative geographies can take in the age of AI.…”

“…To study the techno‐material sides of creativity, we look at the field known as computational creativity, which refers to producing creative outcomes computationally (Colton & Wiggins, 2012), and its investigations of human–computer co‐creativity that we bring as a new concept to creative geographies. In co‐creativity, humans and AI collaborate and affect each other's creative processes (Davis, 2021; Feldman, 2017). We discuss how computational creativity can be approached spatially and what its linkages to creative geographies could be.…”

Character Focused Narrative Models for Computational Storytelling

“…In that case user input can be used to set up (parts of) the simulation, which is then executed automatically by the system. Under such circumstances the system functions as a human-computer cocreativity tool (Davis 2013).…”

Co-Creative Drawing Agent with Object Recognition

“…Recently, the field of computational creativity began exploring how creative agents might engage in collaboration with humans. These co-creative agents directly collaborate with users on creative tasks as an equal partner or colleague in the creative process by making independent contributions to a shared creative product (Davis, 2013;Yannakakis, Liapis, & Alexopoulos, 2014). These types of systems are a hybrid between creativity support tools that are meant to help users accomplish creative tasks (Edmonds & Candy, 2005;Shneiderman et al, 2006) and generative systems that produce creative products autonomously (Colton, Goodwin, & Veale, 2012;Misztal & Indurkhya, 2014;Norton, Heath, & Ventura, 2014).…”