User Psychological Responses to VR-Based Digital Heritage Interaction Design

126 participant responses collected for a study examining interaction design in VR-based digital heritage systems. The dataset includes metrics on perceived authenticity, cognition-based trust, and cognitive load, with demographic control variables. It was authored by Yuxuan Li and published via Harvard Dataverse.

Use Cases

• Analyze the effect of interaction modality (Passive Viewing vs. Active Anastylosis) on perceived authenticity.
• Model the relationship between visual fidelity (Photorealistic PBR vs. Abstract NPR) and cognitive load.
• Investigate how uncertainty visualization strategies (Implicit Perfection vs. Visual Coding vs. Multiple Hypotheses) influence cognition-based trust.
• Conduct mediation/moderation analyses using variables like Virtual Embodiment and Psychological Ownership.

Strengths

• 126 participant records with a mean age of 22.8 years.
• Includes multiple key psychological variables (Perceived Authenticity, Cognition-based Trust, Virtual Embodiment, Psychological Ownership, Cognitive Load).
• Designed to support advanced statistical analyses like RM-MANOVA and Structural Equation Modeling.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update was 2026-07-08.

Provenance

Source

Harvard Dataverse

Collection Method

Collected via a study involving participants engaging with a VR-based light exercise assistive teaching system.

Freshness

Last updated 2026-07-08 04:00:23