The Advantage of Timely Intervention.

TLDR

The study investigates whether intervention improves causal structure learning compared to observation and whether a temporal cue drives this advantage. Four experiments employed a trial‑based learning paradigm where participants gathered probabilistic data about a causal chain via observation or intervention and then selected the most likely causal model; Experiment 4 added a temporal cue manipulation. Interveners chose the correct causal model more often than observers, and this advantage was not explained by informational differences but was supported by the temporal cue hypothesis.

Abstract

Can people learn causal structure more effectively through intervention rather than observation? Four studies used a trial-based learning paradigm in which participants obtained probabilistic data about a causal chain through either observation or intervention and then selected the causal model most likely to have generated the data. Experiment 1 demonstrated that interveners made more correct model choices than did observers, and Experiments 2 and 3 ruled out explanations for this advantage in terms of informational differences between the 2 conditions. Experiment 4 tested the hypothesis that the advantage was driven by a temporal signal; interveners may exploit the cue that their interventions are the most likely causes of any subsequent changes. Results supported this temporal cue hypothesis.