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Published on: August 25, 2023
Reward value shapes the time course of self-bias
Parnian Jalalian1, Marius Golubickis2, Yadvi Sharma3
1School of Psychology, University of Aberdeen, King's College, King's College, Aberdeen, AB24 3FX, Scotland, UK. p.jalalian.22@abdn.ac.uk.
Personal possession speeds up decision-making. This self-prioritization effect is stronger and lasts longer for high-value items compared to low-value items, influencing how we perceive owned objects.
Area of Science:
- Cognitive Psychology
- Social Psychology
- Neuroscience
Background:
- Personal possession significantly influences decision-making, leading to faster categorization of self-owned items versus others'.
- The temporal dynamics and influencing factors of this self-prioritization effect remain underexplored, especially concerning object characteristics related to self-concept.
Purpose of the Study:
- To investigate how reward value, a key stimulus characteristic, affects the time course of the self-prioritization effect in decision-making.
- To determine if the duration and magnitude of self-bias are modulated by the perceived value of owned objects.
Main Methods:
- Utilized an object-classification task across three experiments.
- Participants classified high- and low-reward value items (stones, cryptocurrencies) attributed to themselves or a friend.
- Measured reaction times and classification accuracy to assess self-prioritization.
Main Results:
- Self-prioritization was observed for both high- and low-value items, confirming a general self-bias.
- The magnitude of self-prioritization was significantly larger for high-value items compared to low-value items.
- The self-prioritization effect demonstrated greater persistence over time for high-value items than for low-value items.
Conclusions:
- Reward value dynamically modulates the extent and duration of self-prioritization in decision-making.
- These findings suggest that the self-prioritization effect is not uniform but is sensitive to the value and self-relevance of objects.
- The results contribute to a nuanced understanding of self-function and decisional biases.
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