This research introduces an automated assessment framework using large language models to evaluate how individuals perceive and recall information from their environments.

• Leverages LLMs to analyze event segmentation - how people naturally divide continuous experiences into discrete events
• Provides objective measurement tools for identifying potential cognitive impairments
• Enables scalable, standardized memory assessment that can detect subtle changes in cognitive function
• Creates new possibilities for early detection of dementia and other memory disorders

This innovation matters for healthcare by offering non-invasive, efficient screening tools that can help identify cognitive decline earlier and more accurately than traditional assessments, potentially improving intervention timing and treatment outcomes.

Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments