Human and Machine as Seen at the Co-Creation Age: A Co-Word Analysis in Human Machine Co-creation (2014-2024)

2025-05-20

AI Summary

This study investigates the paradigmatic evolution of human–AI co-creation research at the ACM CHI conference (2014–2024), addressing how AI’s role has shifted from a passive “tool” to an active “creative collaborator” and examining its implications for creativity, innovation, and societal impact. Methodologically, it integrates co-word analysis, scientometrics, topic modeling, and bibliographic network visualization to construct a comprehensive knowledge map of human–AI co-creation. This approach identifies five emergent thematic clusters—including AI-augmented design and collaborative creative agency—and traces their longitudinal development over ten years. The study establishes scholarly consensus on the “machine-as-collaborator” framework and provides empirically grounded, interdisciplinary foundations for theorizing and designing human–AI co-creation. It further advances a methodological paradigm for studying socio-technical co-creation systems, thereby supporting more inclusive, equitable, and effective human–AI interaction practices.

Technology Category

• Humans and AI: Human-AI Collaboration / Human-AI Teaming
• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Game Theory and Economic Paradigms: Cooperative Game Theory

Application Category

• Economics, Online Markets and Human Computation: Research challenges in human and human-AI computation
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Web Mining and Content Analysis: Models for Web evolution

Abstract

This paper explores the evolving landscape of human-machine co-creation, focusing on its development in the context of the ACM Conference on Human Factors in Computing Systems (CHI) from 2014 to 2024. We employ co-word analysis to identify emerging trends, central themes, and the intellectual trajectory of this field. The study highlights the shift from viewing machines as mere tools to recognizing them as collaborative partners in creative processes. By understanding these dynamics, we aim to provide insights into the implications of this paradigm shift for creativity, innovation, and societal impact, ultimately fostering a more inclusive and effective approach to human-machine interaction in various domains.

Problem

• Analyzing human-machine co-creation trends from 2014-2024
• Identifying shifts from tools to collaborative partners
• Exploring societal impacts of human-machine collaboration

Innovation

• Co-word analysis identifies trends in co-creation
• Machines shift from tools to creative partners
• Enhances human-machine interaction in diverse domains