User Acceptance of AR Assistance Systems in Maintenance: Survey Data

Igor Lima Dourado's dataset contains survey data from a user study on Augmented Reality (AR) assistance systems in industrial maintenance. The data likely includes responses from 57 participants, collected to test an extended Technology Acceptance Model (TAM). The dataset was last updated on 2026-05-25.

Use Cases

• Predicting user intention to use AR systems based on perceived risk and augmentation quality.
• Modeling the relationship between ease of use, usefulness, and external technology acceptance factors.
• Analyzing survey responses to validate an extended Technology Acceptance Model framework for industrial AR.

Strengths

• The underlying model demonstrated an explained variance (R²) of 43.2%.
• The user study included 57 participants, providing a basis for empirical analysis.
• The dataset is focused on a specific, high-value application of AR in industrial maintenance.

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 114.6 KB, indicating limited scope.

Provenance

Source

Igor Lima Dourado via figshare

Collection Method

Likely gathered via a structured user study survey.

Freshness

Last updated 2026-05-25 07:31:12; freshness should be verified.