Quantified Co-Creation

Measuring Creativity Through Interaction

Creativity is often studied through outcomes.

Researchers evaluate products, ideas, performances, patents, artworks, or other artifacts that emerge from creative processes. While these approaches provide valuable insights, they frequently overlook the interactions through which creativity unfolds.

Quantified Co-Creation was developed to address this gap.

Building upon the Creative Sense-Making framework, Quantified Co-Creation focuses on measuring and analyzing the interaction dynamics that occur during creative activity. Rather than treating creativity as a static outcome, the framework examines creativity as an evolving process of participation, negotiation, adaptation, and discovery.

The central question is simple:

Can creative interaction itself be measured?

Quantified Co-Creation provides methods for coding interactions, analyzing trajectories, identifying patterns of participation, and visualizing how creativity emerges through time.

These methods have been applied to:

• Human-human collaboration

• Human-AI co-creation

• Drawing systems

• Creativity support tools

• Design activities

• Collaborative problem solving

The goal is not to reduce creativity to numbers. Rather, the goal is to make interaction dynamics visible so that creative processes can be studied, compared, and better understood.

Why Quantified Co-Creation Matters

Creativity Happens Through Interaction

Novelty emerges through participation rather than solely through isolated cognition.

Process Matters

Understanding how creativity emerges is often as important as evaluating outcomes.

Interaction Can Be Analyzed

Creative collaboration produces observable patterns that can be studied scientifically.

Theory Meets Measurement

Quantified Co-Creation provides an empirical foundation for Creative Sense-Making.

Explore Quantified Co-Creation

Why Measure Co-Creation?

Why interaction processes deserve scientific investigation.

Interaction Coding

Methods for transforming creative activity into analyzable data.

Metrics

Quantitative measures used to characterize creative interaction.

Interaction Dynamics

How trajectories, transitions, and participation patterns emerge.

Example Analyses

Applications across drawing studies, collaboration research, and human-AI co-creation.

From Interaction to Understanding

Quantified Co-Creation represents an effort to build a science of creative interaction. By combining theory, observation, coding, and analysis, the framework provides tools for studying how creativity emerges through participation.

Codix

The Research Platform for Quantified Co-Creation

Codix enables researchers to:

• code interaction events,

• analyze creative trajectories,

• generate Sense-Making Curves,

• investigate human-human and human-AI collaboration.

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