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Approximate Number Processing Skills Contribute to Decision Making Under Objective Risk: Interactions With Executive
Silke M Mueller1, Matthias Brand1,2
1General Psychology: Cognition and Center for Behavioral Addiction Research, University of Duisburg-Essen, Duisburg, Germany.
Approximate number processing (ANP) skills interact with executive functions and objective numeracy to predict risky decision-making. Good performance in any one skill reduces poor choices, with ANP potentially compensating for weaknesses in other areas.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Behavioral Economics
Background:
- Decision-making under risk relies on executive functions and objective numeracy.
- Exact number skills are thought to be based on approximate number processing (ANP) skills.
- Limited research exists on ANP's role and its interaction with other cognitive skills in risky decision-making.
Purpose of the Study:
- To investigate the interactions between ANP skills, executive functions, and objective numeracy in predicting risky choice behavior.
- To determine if ANP skills can compensate for deficits in executive functions or objective numeracy.
Main Methods:
- Participants (N=128) completed a dot-comparison task for ANP skills.
- Executive functions and objective numeracy were assessed.
- Risky decision-making was measured using two versions of the Game of Dice Task (GDT).
Main Results:
- Significant two-way and three-way interactions were found between ANP skills, executive functions, and objective numeracy in predicting GDT performance.
- The riskiest decisions were associated with low scores across all three competencies.
- High ANP skills reduced disadvantageous decisions, particularly in individuals with lower executive functions or objective numeracy.
Conclusions:
- ANP skills play a significant interactive role in risky decision-making.
- ANP can potentially compensate for weaknesses in executive functions and objective numeracy, influencing choice behavior.
- Findings highlight the importance of considering ANP in models of decision-making under risk.
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