P-values for the main effects per performance metric.

<p>P-values < 0.05 are marked in bold.</p

Path length.

<p>Top row: main effects; bottom row: interaction effects (ns). Significant effects marked with an asterisk.</p

Sample drawings.

<p>Sample drawings from a senior participant, who completed maze B in the auditory, stationary condition. Showing trials 1–5 for this maze, from left to right. A circle denotes the starting point, and a square denotes the end point. Inset: a sketch of the actual maze. This example demonstrates rotation (in all 5 trials) and mirroring (in the first 3 trials, on the left) of the drawings with respect to the actual maze.</p

The protocol.

<p>A schematic representation of the experimental protocol. Participants started with either a “stationary room” or “rotating room” block of trials, within which they performed the first half of the trials. The block was further divided into auditory and visual blocks, within each one, the participants performed five consecutive repetitions of each of two mazes.</p

Analysis of maze drawings.

<p>Values reported are means ± SD.</p

Number of collisions.

<p>Top row: main effects; bottom row: interaction effects (ns). Significant effects marked with an asterisk.</p

Number of pauses.

<p>Top row: main effects; bottom row: interaction effects (ns). Significant effects marked with an asterisk.</p

Example of a "false-corridor" drawing.

<p>On the left is a drawing made by a young participant, who completed maze D in the auditory, stationary condition. A circle denotes the starting point, and a square denotes the end point. On the right is a sketch of the actual maze. This example demonstrates what we termed a "false corridor", where a dead-end corridor was drawn at 90° to its actual direction.</p

Experimental setup.

<p>The participant is seated in the periphery of the Rotating Room, with comfortable head support. She is controlling the movement of the avatar through a virtual maze using the arrow keys of a laptop placed on a flat support located on her lap.</p

Average values (mean±SD) per performance metric.

<p>Average values (mean±SD) per performance metric.</p