Abstract
We investigated how path integration performance can be influenced by five basic path properties in a Virtual Reality Cube. Participants performed path-completion tasks in hallway paths with up to 12 segments. Distance information was visual, whereas turning angles were specified through vision and body senses. The ridge regression analyses suggested that path integration was affected by the number of segments, overall path length/turning angles, and the correct homing distance. Moreover, an un-correlation paradigm showed that path completion performance might be affected by participants' expectations for the correct homing distance of different paths. Implications on models of path integration were discussed.
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