ChatGPT-Like Chatbot Adoption Survey on Transparency and Trust

A cross-sectional survey of 426 experienced users, analyzed by HAOYUAN KONG in 2026, tests a model linking data-use and decision-logic transparency to adoption intention through perceived trustworthiness. The dataset includes results from confirmatory factor analysis and bootstrap mediation tests. The measurement model fit the data well, though average variance extracted was at or just below the conventional .50 threshold.

Use Cases

• Modeling the relationship between decision-logic transparency and perceived trustworthiness based on survey constructs.
• Analyzing the mediating role of perceived trustworthiness between transparency types and adoption intention.
• Investigating the correlation between use self-efficacy and adoption intention as indicated by the study's findings.
• Comparing the effects of data-use transparency versus decision-logic transparency on user trust.

Strengths

• Dataset is based on a survey of 426 experienced users, providing a substantive sample size.
• Analysis includes confirmatory factor analysis and bootstrap mediation tests, suggesting a structured quantitative approach.
• The measurement model is reported to fit the data well and meet discriminant-validity criteria.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Average variance extracted for scales fell at or just below the conventional .50 threshold, indicating modest convergent validity.

Provenance

Source

HAOYUAN KONG via figshare

Collection Method

Cross-sectional survey analyzed with confirmatory factor analysis and bootstrap mediation tests.

Freshness

Last updated 2026-05-30 09:12:01; freshness should be verified.