Example Analyses

Quantified Co-Creation in Practice

The methods of Quantified Co-Creation have been applied across a variety of creative domains.

These studies demonstrate how interaction data can reveal patterns that are difficult to observe through traditional approaches.

Drawing Studies

Drawing Apprentice

Researchers analyzed interaction sequences between users and a co-creative drawing partner.

Findings revealed:

• cycles of exploration and refinement

• reciprocal influence

• creative turn-taking

• evolving participation patterns

Human-Human Collaboration

Creative teams were analyzed through interaction coding and trajectory visualization.

Observed patterns included:

• negotiation cycles

• idea development sequences

• coordination phases

• moments of creative transition

Human-AI Co-Creation

Studies of AI Drawing Partner and related systems demonstrated that creative interaction can emerge between humans and computational agents.

Analysis revealed:

• adaptive participation

• reciprocal influence

• interactional trajectories

• emergent creative structures

Sense-Making Curves

Interaction datasets can be transformed into Sense-Making Curves that visualize:

• exploration

• coordination

• novelty

• stabilization

These curves provide a high-level view of creative interaction dynamics.

Toward a Quantitative Science of Co-Creation

The examples presented here illustrate how creativity can be investigated through interaction.

By analyzing participation rather than only outcomes, Quantified Co-Creation provides new opportunities for understanding how creativity emerges across people, technologies, and environments.