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Description
This study investigates visuo-spatial working memory in healthy adults (n = 61, mean age = 25 years, SD = 3.45) using virtual reality (VR) and traditional methods.
We adapted the Radial Arm Maze task (RAM) in VR to assess working memory dynamically. Participants navigated a maze to find hidden objects. Concurrently, we administered classical measures (Corsi and Digit Span tests) and analysed individual differences in RAM performance related to sports activity, gender, and age.
Cowan's K was employed to evaluate RAM performance, and regression modelling examined its predictive power for working memory beyond classical tests. Results revealed RAM's unique ability to capture visuo-spatial working memory nuances, significantly predicting broader working memory abilities. Individual differences analysis highlighted the impact of sports activity, gender, and age on RAM performance.
This study underscores VR's utility in cognitive research and offers insights into visuo-spatial working memory complexity. By integrating innovative methodologies and analysing individual differences, our findings advance cognitive assessment strategies in healthy adults.
