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Navigating decision space: Causal structure improves performance in a branching choice task.

Andreas Arslan1, Jonathan F Kominsky1

  • 1Department of Cognitive Science, Central European University PU, Vienna, Austria.

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Summary
This summary is machine-generated.

Causal structure significantly improves decision-making performance in coherent tasks compared to fragmented ones. This advantage persists even without extensive learning or reliance on episodic memory, highlighting the role of causal cues.

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Area of Science:

  • Cognitive Psychology
  • Decision Science
  • Human-Computer Interaction

Background:

  • Prior research indicates causal structure impacts episodic memory recall.
  • The current study extends this to decision-making in goal-directed tasks.

Purpose of the Study:

  • To investigate if causal structure benefits performance in decision-making tasks.
  • To determine the role of episodic memory and specific cues in this benefit.

Main Methods:

  • Participants navigated 'coherent' (causally linked) and 'fragmented' (statistically linked) decision trees.
  • Experiments manipulated the presence of an initial exploration phase, process images, and text labels.

Main Results:

  • Participants performed significantly better (fewer attempts) in coherent trees.
  • This advantage was largely independent of episodic memory (exploration phase).
  • Removing process images or text labels individually did not eliminate the benefit; only removing both did.

Conclusions:

  • Causal coherence enhances goal-directed decision-making.
  • Cues like process images and text labels facilitate decision-making without extensive learning.
  • The benefit of causal structure is robust and not solely dependent on episodic memory.