Human Navigation in Immersive Mixed-Reality: a Virtual Twin approach

Data and analysis code supporting the article Human Navigation in Immersive Mixed-Reality: a Virtual Twin approach. Pedestrians walked in an 11.37 m × 6.70 m arena in groups of 12 or 24 at a slow or fast instructed pace; their trajectories were replayed as virtual pedestrians in a head-mounted display, and 173 participants each replaced one of them and walked among the replayed crowd while the headset tracked their position and head orientation. ExperimentalData.zip: real trajectories (7 sessions × 3 trials, 25 Hz) and MR recordings (684 runs of 173 participants), raw and processed, with run and session tables and a data dictionary. SourceData.xlsx: values plotted in Figs. 2–4 of the article and Fig. S1 of the SI, one sheet per panel. Codes.zip: Python scripts that produce Figs. 2–4 and Fig. S1 from ExperimentalData, one script per figure, with a driver (run_all.py) (MIT licence). The real trajectories were first reported in Echeverría-Huarte et al., Sci. Rep. 11, 1534 (2021). The MR experiments were approved by the Ethics Committee of the University of Navarra (ref. 2025.139); participants are identified only by a number.