Table 1_Distinct aging-related profiles of allocentric knowledge recall following navigati

Thirty younger and thirty older adults performed a city-like virtual reality wayfinding task across multiple exposures. The dataset includes navigation performance metrics and scores from an allocentric representation assessment, revealing a bimodal distribution of performance among older adults. Authored by Yasmine Bassil and published under CC-BY-4.0 on figshare in June 2026.

Use Cases

• Modeling aging-related differences in navigation performance based on metrics like distance traveled and speed.
• Analyzing the relationship between allocentric knowledge formation and navigation success across age groups.
• Investigating heterogeneity in cognitive aging by identifying higher- and lower-performing subgroups within a population.
• Benchmarking virtual reality task performance for developing sensitive early indicators of cognitive decline.

Strengths

• Includes data from 60 participants (30 younger, 30 older adults), enabling age-group comparisons.
• Captures multiple navigation performance metrics, including distance, time, speed, and dwell time.
• Pairs behavioral navigation data with a specific allocentric knowledge assessment (NARA).
• Data reveals a clear, non-uniform bimodal performance distribution within the older adult group.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The 36.1 KB file size suggests a very limited scope, likely containing summary results rather than raw trial-level data.

Provenance

Source

figshare, authored by Yasmine Bassil.

Collection Method

Collected via a virtual reality wayfinding task (NavCity) and a subsequent allocentric representation assessment (NARA).

Freshness

Last updated 2026-06-02 05:37:11; freshness should be verified.