Co-Creative AI, Participatory Cognition, Human-Centered AI, Creative Technologies
Nicholas Davis, PhD (ndavis35@gatech.edu) is a researcher, theorist, and designer working at the intersection of artificial intelligence, cognitive science, computational creativity, human-computer interaction, and enactive cognition. His work focuses on how intelligence, creativity, and meaning emerge dynamically through interaction between humans and AI systems.
Over more than a decade of interdisciplinary research, Davis helped pioneer many of the foundational concepts underlying modern co-creative AI and interaction-centered approaches to artificial intelligence. His research introduced frameworks and systems involving artistic computer colleagues, participatory sense-making, quantified co-creation, creative trajectories, sense-making curves, enactive AI, and human-AI co-creation as an interaction paradigm.
Much of this work explored a central idea that continues shaping the field today: intelligence may not reside solely inside isolated humans or machines, but may instead emerge dynamically through interaction between coupled participants engaged in shared processes of sense-making.
Nicholas Davis’s research spans several interconnected areas within artificial intelligence, cognitive science, and computational creativity, including:
Co-Creative AI
Human-AI Co-Creation
Enactive AI
Creative Sense-Making
Participatory Sense-Making
Computational Creativity
Human-Computer Interaction
Adaptive Systems
Hybrid Intelligence
Interaction-Centered AI
Quantified Co-Creation
Explainable Creative Systems
Creativity Support Tools
Interactive Machine Learning
His work combines theoretical research with the development of interactive AI systems designed to collaborate dynamically with humans in creative and cognitive tasks.
Rather than treating AI as merely a tool or autonomous generator, Davis’s research explores AI systems as adaptive participants capable of engaging in improvisational interaction, shared meaning construction, and collaborative creativity.
Nicholas Davis began publishing research on human-computer co-creativity during the early development of computational creativity and interactive AI systems. Early work focused on: human-computer co-creativity, improvisational creative systems, pretend play, collaborative drawing, and interaction dynamics in creative cognition. This research gradually evolved into broader frameworks involving: enactive cognition, participatory interaction, Creative Sense-Making, quantified co-creation, and interaction-centered models of intelligence.
Key milestones in this trajectory include:
Early work exploring how humans and computational systems collaborate creatively through interaction rather than isolated generation.
Introduction of the enactive model of creativity and the concept of artistic computer colleagues through research presented at the International Conference on Computational Creativity.
Development of The Drawing Apprentice, one of the earliest co-creative AI drawing systems designed for improvisational collaboration with human users in real time. This work led to empirical studies on: participatory sense-making, quantified co-creation, creative trajectories, and interaction dynamics during collaboration.
Development of frameworks for quantifying interaction dynamics in co-creation through activity traces, sense-making curves, and creative trajectories.
Expansion of earlier co-creative AI frameworks into broader theories involving: hybrid intelligence, explainable co-creative systems, generative AI collaboration, interaction-centered intelligence, and human-AI co-creation as a new paradigm for AI interaction.
Nicholas Davis earned a PhD in Human-Centered Computing from the Georgia Institute of Technology, where his research focused on co-creative AI, computational creativity, enactive cognition, adaptive systems, and human-AI interaction. His work emerged from an interdisciplinary synthesis of: cognitive science, artificial intelligence, human-computer interaction, creativity research, ecological psychology, enactive cognition, and computational creativity. During this period, Davis developed many of the early theoretical foundations and co-creative systems that later contributed to modern interaction-centered approaches to AI. His research has been published in venues spanning: computational creativity, human-computer interaction, human-centered AI, artificial intelligence, cognitive science, and creativity research.
Nicholas Davis’s research contributed to the development of several influential frameworks and concepts within co-creative AI and interaction-centered intelligence, including:
Early frameworks for understanding AI systems as collaborative creative participants rather than isolated generators.
One of the earliest conceptualizations of AI systems as improvisational creative collaborators.
An interaction-centered framework grounded in enactive cognition in which intelligence emerges dynamically through participation between agents and environments.
A framework for understanding and quantifying how creativity and meaning emerge through interaction during co-creation.
Methods for modeling collaborative dynamics using activity traces, creative trajectories, interaction histories, and sense-making curves.
Early empirical investigations into how humans and AI systems construct meaning together through interaction.
One of the earliest co-creative AI systems designed for real-time improvisational drawing collaboration between humans and AI.
Recent work extending co-creative AI into broader frameworks involving hybrid intelligence, explainable co-creative systems, and interaction-centered AI.
Nicholas Davis’s work spans both academic research and applied AI system design.
His research has involved: co-creative AI systems, adaptive interaction frameworks, explainable AI, quantified creativity systems, generative collaboration, and human-centered artificial intelligence.
He has developed interactive AI systems capable of: improvisational collaboration, adaptive participation, creative interaction, interaction trace analysis, and dynamic co-creative engagement.
More recently, his work has expanded into broader investigations involving: hybrid intelligence, interaction-centered AI, creative cognition, adaptive systems, and emergent models of human-AI collaboration.
The publications and theoretical foundations collected throughout this site document more than a decade of interdisciplinary research spanning co-creative AI, enactive cognition, computational creativity, participatory sense-making, quantified co-creation, and human-AI interaction.
Together, these works trace the development of an interaction-centered paradigm of artificial intelligence in which intelligence, creativity, and meaning emerge dynamically through participation between humans and AI systems.
For research inquiries, collaborations, speaking engagements, interviews, or academic discussion related to:
co-creative AI,
enactive AI,
Creative Sense-Making,
human-AI co-creation,
quantified co-creation,
or interaction-centered AI,
Contact Nicholas Davis, PhD: ndavis35@gatech.edu
Website: https://www.co-creativeai.com
Professional Profile: https://www.nickmdavis.com