The field of human-computer interaction is witnessing significant advancements with the integration of virtual agents and large language models (LLMs). Researchers are exploring innovative approaches to create more immersive and interactive digital humans, enabling them to simulate human-like personalities and emotions. This has far-reaching implications for various applications, including education, therapy, and gaming. Moreover, LLMs are being utilized to predict survey responses, generate personas, and enhance social media interactions. However, challenges such as biases, latency issues, and the lack of standardized evaluation frameworks need to be addressed. Noteworthy papers in this area include those that propose novel frameworks for persona generation, context-aware transcription interfaces, and deterministic AI agent personality expression. Notable papers in this area are: Integrating Personality into Digital Humans, which reviews LLM-driven approaches for creating digital humans with nuanced personality traits. LLM Generated Persona is a Promise with a Catch, which highlights the need for methodological rigor in persona generation using LLMs. Deterministic AI Agent Personality Expression through Standard Psychological Diagnostics, which demonstrates the ability to express deterministic and consistent personalities in AI agents using established psychological frameworks.