Optic Flow and Cycling Effort Data from Virtual Reality Study

Thirty cyclists participated in two 20-minute trials within a virtual reality environment. The dataset, authored by Sem Otten and last updated in May 2026, contains measurements of exerted effort, perceived effort, and psychological momentum under proximal and distal optic flow conditions.

Use Cases

• Modeling the relationship between optic flow and exerted effort based on the experimental conditions.
• Analyzing the interaction effect between baseline performance and visual condition on cycling output.
• Investigating the dissociation between perceived and exerted effort reported in the study.
• Studying psychological momentum in a controlled, physically demanding task.

Strengths

• Data from a controlled experiment with 30 participants.
• Includes both objective (exerted effort) and subjective (perceived effort, psychological momentum) measures.
• Findings show a significant difference in exerted effort between proximal and distal optic flow conditions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The beneficial effect of the proximal condition was mainly present for lower-level cyclists, indicating a potential sample bias.

Provenance

Source

DataverseNL Harvested Dataverse

Collection Method

Experimental data collected from participants cycling in a virtual reality environment.

Freshness

Last updated 2026-05-18 06:13:43; freshness should be verified.