A dual-process account of auditory change detection

Area of Science:

• Auditory perception
• Cognitive psychology
• Psychoacoustics

Background:

• Listeners often miss substantial auditory changes in complex scenes without directed attention.
• The relationship between auditory change detection and object identification remains unclear.

Purpose of the Study:

• To investigate whether auditory change detection depends on identifying objects in auditory scenes.
• To compare listener performance with predictions from signal detection theory (SDT) and high-threshold theory (HTT) models.

Main Methods:

• Listeners' ability to identify changed objects was compared to predictions from SDT and HTT models.
• Receiver-operating characteristics (ROCs) were analyzed to understand the underlying change detection process.

Main Results:

• Detected changes were identified less accurately than predicted by either SDT or HTT alone.
• Undetected changes were identified accurately by HTT but less so by SDT.
• Listener ROCs were best modeled by a dual-process model integrating both HTT and SDT.

Conclusions:

• Auditory change detection may involve processes that do not support explicit object identification.
• A dual-process model, combining elements of HTT and SDT, provides a comprehensive explanation for auditory change detection and identification accuracy.