Consumer Adoption of ChatGPT-like AI Chat Assistants: A Measurement Refinement of Transpar

A 2026 survey of 198 consumers after screening, conducted by HAOYUAN KONG, explores cognitive evaluations of AI chat assistants. The dataset includes raw responses from an online survey focusing on constructs like transparency, privacy concerns, and adoption intention. It is available as a 136.8 KB CSV file under a CC-BY-4.0 license.

Use Cases

• Conduct exploratory factor analysis based on survey items for transparency and privacy concerns.
• Analyze the relationship between perceived trustworthiness and adoption intention using the provided composite scores.
• Validate or refine measurement constructs for generative AI adoption research as suggested by the study's findings.

Strengths

• Dataset includes 198 validated survey responses after screening from 208 raw entries.
• Analysis includes specific model fit statistics (CFI = .956, RMSEA = .054) and regression results (β = .529, ΔR² = .228).
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and modification.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The derived composite construct (TAO) is described as tentative with weak convergent validity (AVE = .293).

Provenance

Source

HAOYUAN KONG via figshare

Collection Method

Online survey, with analysis involving item-level diagnostics, exploratory factor analysis, and hierarchical regression.

Freshness

Last updated 2026-05-22 15:55:00; freshness should be verified.