Interaction Dynamics examine how participants engage with one another during creative activity.
Within the AI Drawing Partner framework, interaction is treated as a measurable process rather than a background condition.
Researchers can analyze:
communication frequency
turn-taking patterns
interaction sequences
participation structures
collaborative trajectories
Creative collaboration often unfolds through reciprocal exchange.
Participants contribute, respond, adapt, and build upon previous actions.
These exchanges form interaction trajectories that shape the creative process.
Communication helps coordinate collaboration.
Participants may:
request changes
provide feedback
negotiate meaning
introduce new directions
Communication events become part of the interaction dataset.
Different collaborations exhibit different participation patterns.
Some interactions are highly balanced.
Others are dominated by specific participants.
Interaction analysis helps reveal these structures.
As interactions accumulate, larger patterns emerge.
These trajectories form the foundation for Sense-Making Curves and Quantified Co-Creation analysis.