Keiji Ota

The paper investigates how people use explicit reliability markers in decision-making and find they overestimate source reliability and are influenced by unreliable sources.

The paper investigates how humans estimate the location of a cloud of points by analyzing performance across different statistical distributions and proposes a visual cluster model to explain this process.

This study investigates adaptive autonomy in human decision-making by analyzing performance in a competitive game where participants must avoid habitual and sequential action patterns.

This study shows that competition with risk-averse opponents reduces risk-seeking bias and promotes optimal motor decision-making in a competitive reaching game.