Exploring Collaboration Patterns and Strategies in Human-AI Co-creation through the Lens of Agency: A Scoping Review of the Top-tier HCI Literature
Shuning Zhang, Hui Wang, Xin Yi

TL;DR
This scoping review analyzes how agency manifests in human-AI co-creation within HCI, providing a framework, catalog, and map to guide future research and system design.
Contribution
It offers the first comprehensive synthesis of agency configurations and control mechanisms in HCI/CSCW literature over 20 years.
Findings
Developed an integrated theoretical framework for agency patterns.
Created a catalog of control mechanisms for agency implementation.
Mapped agency configurations to diverse co-creative practices.
Abstract
As Artificial Intelligence (AI) increasingly becomes an active collaborator in co-creation, understanding the distribution and dynamic of agency is paramount. The Human-Computer Interaction (HCI) perspective is crucial for this analysis, as it uniquely reveals the interaction dynamics and specific control mechanisms that dictate how agency manifests in practice. Despite this importance, a systematic synthesis mapping agency configurations and control mechanisms within the HCI/CSCW literature is lacking. Addressing this gap, we reviewed 134 papers from top-tier HCI/CSCW venues (e.g., CHI, UIST, CSCW) over the past 20 years. This review yields four primary contributions: (1) an integrated theoretical framework structuring agency patterns, control mechanisms, and interaction contexts, (2) a comprehensive operational catalog of control mechanisms detailing how agency is implemented; (3) an…
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