Attentional control and the self: The Self-Attention Network (SAN)

Area of Science:

• Cognitive Neuroscience
• Social Psychology

Background:

• Human decision-making is often influenced by self-biases.
• The precise role of self-biases in mediating attention is not fully understood.

Purpose of the Study:

• To review evidence on the relationship between self-bias effects in decision-making and attention.
• To explore whether self-related information captures attention and modulates attentional processes.
• To propose a framework integrating self-bias and attention.

Main Methods:

• Review of existing research on own-name effects, own-face effects, and self-biases in associative matching.
• Analysis of how self-biases interact with attentional resource availability and expectancies.
• Discussion of the influence of social context on self-biases in attention.

Main Results:

• Self-related information demonstrably impacts attention allocation and stimulus saliency.
• Self-biases in attention are influenced by the availability of attentional resources.
• Social factors such as cultural experience and group affiliation modulate self-biases on attention.

Conclusions:

• Self-related information has a distinct effect on attention, akin to perceptual saliency.
• A new framework, the Self-Attention Network (SAN), is proposed to explain the interaction between self-processing and attentional control circuits.
• Self-biases in attention are not solely internal but are significantly shaped by the social environment.