Experimental Data on AI Automation and Creative Agency in Music Co-Creation

A dataset from a 2026 figshare study by Wenting He investigating the impact of generative AI on human creative agency. The data likely contains results from a between-subjects experiment with 162 participants who completed a music co-creation task. It examines how AI automation level affects subjective task load, psychological ownership, and state sense of agency, moderated by musical expertise.

Use Cases

• Analyzing the relationship between AI automation level and perceived creative agency based on the described experimental manipulation.
• Investigating the mediating roles of subjective task load and psychological ownership based on the serial mediation analysis mentioned.
• Examining how musical expertise moderates the effects of AI automation on ownership and agency based on the novice-expert comparison.
• Modeling the trade-off between creative efficiency and alienation in human-AI co-creation systems based on the study's conclusions.

Strengths

• Data originates from a controlled 3x2 between-subjects experiment with 162 participants.
• Study design is clearly described, involving standardized AI generative tools for a music co-creation task.
• License is CC-BY-4.0, permitting broad reuse and adaptation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 16.2 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Data collected via a between-subjects laboratory experiment where participants completed a music co-creation task.

Time Range

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Freshness

Last updated 2026-05-01 13:27:49; freshness should be verified.

Geography

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