Martin M. Müller

Uncovering persistent biases in human path integration by separating left and right trials

This study reanalyzes navigation data and conducts a virtual reality experiment to reveal persistent individual left/right biases in path integration, which are obscured by population-level averaging.

Mobile Eye Tracking in the Real World: Best Practices

This paper demonstrates a mobile eye-tracking study in an urban environment and provides best practices for naturalistic human behavior research.

Human performance in the Traveling Salesman Problem is influenced by spatial scale

This study shows human performance in solving the Traveling Salesman Problem varies with spatial scale, peaking at intermediate scales where global strategies are used.

Not seeing the forest for the trees: Combination of path integration and landmark cues in human virtual navigation

This study investigates how humans combine path integration and landmark cues in virtual navigation, finding that performance varies with environment complexity and individual differences in cue usage.