A Quantitative Relationship between Signal Detection in Attention and Approach/Avoidance Behavior

Area of Science:

• Cognitive Neuroscience
• Decision Science

Background:

• Reward and attention are typically studied as separate cognitive functions.
• Understanding their interaction is crucial for a comprehensive view of human cognition.

Purpose of the Study:

• To investigate the systems-level interaction between reward processing and divided attention.
• To operationalize and quantify these cognitive domains using established theoretical frameworks.

Main Methods:

• Divided attention was assessed using a continuous performance task and signal detection theory (SDT) metrics.
• Reward and aversion were measured via a keypress task within the relative preference theory (RPT) framework.
• Independent experiments were conducted on the same subjects to establish associations.

Main Results:

• A significant association was found between one SDT variable and two RPT variables, forming a three-dimensional structure.
• A loss aversion metric from the RPT task was significantly related to response bias in the SDT task when other variables were controlled.
• A more liberal response bias (increased false alarms) in divided attention was linked to higher loss aversion.

Conclusions:

• The findings demonstrate a systematic relationship between divided attention and reward/aversion processing in humans.
• A functional model is proposed to explain processing constraints within these interacting domains.
• This research challenges the view of attention and reward as entirely independent systems.