Survey on AI vs. Human Health Influencers for Older Adults in China

A mixed-methods study examines older adults' perceptions of AI virtual digital human influencers versus physician influencers in Chinese health short videos. The research employed questionnaires with 101 participants and an experimental design, reporting a Cronbach's alpha of 0.897. Jinglun Zhang published the study on figshare under a CC-BY-4.0 license in June 2026.

Use Cases

• Analyze differences in perceived credibility between AI and human health influencers based on survey results.
• Study the role of platform prompts like 'suspected AI generation' in calibrating user trust based on the experimental findings.
• Investigate how presentation cues such as voice and facial expressions affect caution in AI-VDH scenarios as described.
• Model the relationship between medical credentials, institutional endorsements, and health knowledge improvement reported in the study.

Strengths

• Includes results from a questionnaire with 101 participants, providing a quantitative basis.
• Reports a high internal consistency reliability with a Cronbach's alpha of 0.897.
• Employs a mixed-methods approach combining surveys and experiments, as described.

Limitations

• The dataset is a 28.3 KB DOCX file, suggesting limited raw data and a focus on textual analysis or summary.
• Column-level documentation is absent; field semantics must be inferred from the description.
• Row count is unknown, which may limit suitability assessment for quantitative modeling.

Provenance

Source

figshare

Collection Method

Mixed-methods approach combining questionnaires and an experimental design.

Freshness

Last updated 2026-06-04 05:19:06; freshness should be verified.

Geography

China (implied by focus on Chinese short-video contexts)