Enhancing Synthetic Personae with Augmented Data and Cognitive Frameworks for Improved Reliability and Explainability in HCI

Leveraging large language models (LLMs) as data augmentation tools and integrating robust cognitive and memory frameworks can improve the reliability, consistency, and explainability of synthetic personae in human-computer interaction (HCI) research.