Causing time: Evaluating causal changes to the when rather than the whether of an outcome

Area of Science:

• Cognitive Psychology
• Causal Inference

Background:

• Human causal learning often focuses on outcome occurrence (whether an event happens).
• Causes can also influence the timing of outcomes (when an event happens).
• Limited research exists on how humans evaluate timing changes as causal effects.

Purpose of the Study:

• To investigate if people can accurately judge cause-effect contingencies when the effect is a change in outcome timing.
• To explore human sensitivity to probabilistic contrasts involving temporal shifts in outcomes.

Main Methods:

• Three experiments presented scenarios with a candidate cause influencing an inevitable outcome's timing.
• Participants judged cause-effect contingencies for causes that advanced or postponed outcomes.
• Outcome timing changes occurred with specific probabilities.

Main Results:

• Participants provided higher contingency ratings for scenarios with greater probabilistic contrasts.
• Sensitivity to timing changes was observed for both advancing and postponing causes.
• Judgments were consistent with previous findings on outcome occurrence.

Conclusions:

• Humans are sensitive to probabilistic contrasts involving causal changes in event timing.
• This research extends causal learning principles to temporal effects.
• Future studies can explore the nuances of timing-based causal judgments.