Ting-Chi Chang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Ting-Chi Chang is a leading researcher at the forefront of human-AI interaction, specializing in the design and personalization of conversational agents. Their most impactful work centers on shaping chatbot personalities through large language models (LLMs), a critical area for making AI interactions more natural and engaging. In their seminal 2025 review, "A Review on Shaping Chatbot Personalities via Large Language Models," Dr. Chang systematically consolidated methods such as prompt engineering and fine-tuning, providing the first comprehensive guidelines for the field. This work has already garnered 3 citations, signaling its foundational importance. By bridging technical LLM capabilities with user experience design, Dr. Chang’s contributions help define best practices for creating chatbots that are not only functional but also relatable and context-aware. Their research is essential reading for anyone developing next-generation conversational AI, offering a roadmap for infusing digital assistants with consistent, compelling personalities that enhance human-computer trust and rapport.
Research Focus
Key Achievements
Top Papers
- 1A Review on Shaping Chatbot Personalities via Large Language Models3 citations · 2025