LGNCMar 11, 2022

Overcoming Temptation: Incentive Design For Intertemporal Choice

arXiv:2203.05782v22 citationsh-index: 59
Originality Incremental advance
AI Analysis

This work addresses the challenge of personalized interventions for intertemporal choice, offering an incremental improvement over existing one-size-fits-all solutions like prize-linked savings accounts.

The paper tackled the problem of designing customized incentives to improve individuals' long-term decision-making against temptations, demonstrating that such incentives can enhance goal-directed behavior.

Individuals are often faced with temptations that can lead them astray from long-term goals. We're interested in developing interventions that steer individuals toward making good initial decisions and then maintaining those decisions over time. In the realm of financial decision making, a particularly successful approach is the prize-linked savings account: individuals are incentivized to make deposits by tying deposits to a periodic lottery that awards bonuses to the savers. Although these lotteries have been very effective in motivating savers across the globe, they are a one-size-fits-all solution. We investigate whether customized bonuses can be more effective. We formalize a delayed-gratification task as a Markov decision problem and characterize individuals as rational agents subject to temporal discounting, a cost associated with effort, and fluctuations in willpower. Our theory is able to explain key behavioral findings in intertemporal choice. We created an online delayed-gratification game in which the player scores points by selecting a queue to wait in and then performing a series of actions to advance to the front. Data collected from the game is fit to the model, and the instantiated model is then used to optimize predicted player performance over a space of incentives. We demonstrate that customized incentive structures can improve an individual's goal-directed decision making.

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