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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
Published on: January 7, 2019
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Cognitive prostheses for goal achievement.
Falk Lieder1, Owen X Chen2, Paul M Krueger3
1Max Planck Institute for Intelligent Systems, Tübingen, Germany. falk.lieder@tuebingen.mpg.de.
Nature Human Behaviour
|August 21, 2019
Summary
Overcoming procrastination involves aligning immediate rewards with long-term values. This study introduces an AI and gamified approach to decision support, helping people make better choices and reduce procrastination.
Area of Science:
- Cognitive Science
- Behavioral Economics
- Artificial Intelligence
Background:
- Procrastination significantly impacts individuals and society.
- It often stems from prioritizing immediate gratification over long-term outcomes.
- Aligning immediate rewards with long-term values offers a potential solution.
Purpose of the Study:
- To develop an AI-driven decision support system.
- To integrate game elements to restructure decision-making processes.
- To help individuals overcome procrastination and make more future-minded decisions.
Main Methods:
- Development of an AI and gamified approach for decision support.
- Restructuring challenging sequential decision problems.
- Conducting four experiments with increasing realism.
Main Results:
- The approach enabled faster and better decision-making.
- Participants demonstrated reduced procrastination.
- Improved on-time task completion and reduced time on unimportant tasks.
Conclusions:
- The AI and gamified decision support method is effective.
- It shows promise as a cognitive prosthesis for goal achievement.
- Aligning immediate incentives with long-term goals is a key strategy.
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