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Leveraging artificial intelligence to improve people's planning strategies
Frederick Callaway1, Yash Raj Jain2, Bas van Opheusden1
1Department of Psychology, Princeton University, Princeton, NJ 08540.
Summary
Improving human decision-making is possible with AI-driven feedback on strategies. This approach enhances competence and transfers to complex situations, potentially leading to apps for better decision-making skills.
Area of Science:
- Cognitive Science
- Artificial Intelligence
- Behavioral Economics
Background:
- Suboptimal decision-making leads to negative consequences.
- There is a need for effective strategies to improve human judgment.
Purpose of the Study:
- To introduce a computational approach for enhancing human decision-making strategies.
- To leverage artificial intelligence for generating targeted feedback.
Main Methods:
- Developing an AI-powered method to provide feedback on decision processes.
- Empirically testing the effectiveness of the feedback mechanism.
Main Results:
- The computational approach significantly improved decision-making competence.
- Improvements were observed to transfer to more complex decision-making tasks and environments.
Conclusions:
- AI-driven feedback offers a principled way to optimize human decision strategies.
- This research paves the way for applications promoting better reasoning, planning, and goal achievement.
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