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- 2Navigation, Cue integration, Path integration, Piloting
- 1Cue integration, Navigation, Path integration, Piloting
- 1Cue interaction
- 1Navigation, Cue Integration, Combination, Piloting, Path Integration
Cue Interaction between Buildings and Street Configurations during Reorientation in Familiar and Unfamiliar Outdoor EnvironmentsDownload
Two experiments investigated how people use buildings and street configurations to reorient in large-scale environments. In immersive virtual environments, participants learned objects’ locations in an intersection consisting of four streets. The objects’ locations were specified by two cues: a...
Effect of Room Size on Geometry and Features Cue Preference during Reorientation: Modulating Encoding Strength or Cue WeightingDownload
Three experiments investigated how the room size affects preferential use of geometric and non-geometric cues during reorientation inside a room. We hypothesized that room size may affect preferential use of geometric and non-geometric cues by affecting the encoding of the cues (the encoding...
Matlab code demonstrating how to calculate the homing error, position error, and heading error using the replaced O, X1 to X4.
Matlab code demonstrating how to calculate the homing error, position error, and heading error using the replaced O, X1 to X4.Download
This method was developed and used in the following articles. Mou, W., & Zhang, L. (2014). Dissociating position and heading estimations: Rotated visual orientation cues perceived after walking reset headings but not positions. Cognition, 133(3), 553-571. Zhang, L., & Mou, W. (2017). Piloting...
Matlab code demonstrating why the slope a (or leg ratio) is the key manipulation to distinguish between the self-localization hypothesis and the homing hypothesis
Matlab code for the Bidimensional regression to calculate estimated position and heading from replaced locations of objects, implementing (Friedman & Kohler, 2003)
Matlab code for the Bidimensional regression to calculate estimated position and heading from replaced locations of objects, implementing (Friedman & Kohler, 2003)Download
A participants learns objects in five original locations (e.g. O). After navigation, the participant replaces objects from the testing position P and heading h. Conceptually, the bidimensional regression produces a prediction function, which is the transformation matrix that converts the replaced...