Survey Data on Psychological Determinants of Trust in Automated Decision-Support Systems

Survey data from 345 university-educated adults with experience using automated decision-support systems, collected to test an integrated psychological model of trust and reliance. The dataset, authored by Usman Rehman and last updated in May 2026, likely contains responses measuring system characteristics, cognitive evaluations, affective trust, and reliance intention. The findings were analyzed using structural equation modeling.

Use Cases

• Testing psychological models of trust formation based on system accuracy and timeliness.
• Analyzing the mediating role of affective trust between cognitive evaluations and reliance intention.
• Investigating relationships between perceived ease of use, effort expectancy, and performance expectancy.
• Validating survey instruments for measuring trust in automated decision-support systems.

Strengths

• Includes survey data from 345 participants, providing a substantive sample size.
• Applies a structured theoretical framework integrating trust theory, TAM, and UTAUT.
• Employs structural equation modeling for robust analysis of psychological constructs.

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 19.0 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Survey data collected from university-educated adults with prior experience using automated decision-support systems.

Freshness

Last updated 2026-05-13 04:29:54; freshness should be verified.