AI Dependency Dataset: Survey on GenAI for Health Information Seeking

A dataset of 18.1 KB, last updated on 2026-04-20, examining psychological factors in using generative AI for health information. The dataset, authored by Nalae Hong and shared on figshare, likely contains survey responses measuring constructs like dependency, empowerment, and privacy risk. It is stored in the SAV format, commonly used for statistical software.

Use Cases

• Modeling the relationship between instrumental dependency on GenAI and user empowerment based on the described framework.
• Analyzing how perceived privacy risk moderates the link between empowerment and health information-seeking intention (AISEARCH).
• Investigating the acceptance of AI-generated health information (AIACCEPT) as an outcome of psychological empowerment.
• Testing the dependency framework and psychological empowerment theory in the context of AI-mediated health information seeking.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse with attribution.
• File size of 18.1 KB suggests a focused, manageable dataset for analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely gathered via survey, as inferred from the study description measuring psychological constructs.

Freshness

Last updated 2026-04-20 20:33:30; freshness should be verified.