Learning about me and you: Only deterministic stimulus associations elicit self-prioritization

Parnian Jalalian* (Corresponding Author), Marius Golubickis, Yadvi Sharma, Colin Macrae

*Corresponding author for this work

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Abstract

Self-relevant material has been shown to be prioritized over stimuli relating to others (e.g., friend, stranger), generating benefits in attention, memory, and decision-making. What is not yet understood, however, is whether the conditions under which self-related knowledge is acquired impacts the emergence of self-bias. To address this matter, here we used an associative-learning paradigm in combination with a stimulus-classification task to explore the effects of different learning experiences (i.e., deterministic vs. probabilistic) on self-prioritization. The results revealed an effect of prior learning on task performance, with self-prioritization only emerging when participants acquired target-related associations (i.e., self vs. friend) under conditions of certainty (vs. uncertainty). A further computational (i.e., drift diffusion model) analysis indicated that differences in the efficiency of stimulus processing (i.e., rate of information uptake) underpinned this self-prioritization effect. The implications of these findings for accounts of self-function are considered
Original languageEnglish
Article number103602
Number of pages14
JournalConsciousness and Cognition
Volume116
Early online date10 Nov 2023
DOIs
Publication statusPublished - Nov 2023

Bibliographical note

Open Access via the Elsevier agreement
Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Data Availability Statement

Available at https://osf.io/dzub9/

Keywords

  • self
  • instrumental learning
  • probabilistic selection task
  • self-prioritization
  • drift diffusion model

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