The paper "CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models" explores the customization and interaction of agent personas in large language models (LLMs). The authors introduce CloChat, an interface that allows users to create and customize agent personas with distinct traits and conversational styles. The study compares CloChat with ChatGPT, finding that participants formed deeper emotional connections and engaged in more dynamic dialogues with customized agents. Key findings include: 1. **Enhanced User Experience**: Participants reported higher satisfaction, engagement, and future interaction likelihood with CloChat compared to ChatGPT. 2. **Diverse and Dynamic Dialogues**: Customized agents led to richer and more varied conversations. 3. **Emotional and Trustful Connections**: Users showed increased trust and emotional resonance with the customized agents. The research contributes to the design of future conversational systems by providing insights into user preferences and interaction dynamics, emphasizing the importance of personalized agent personas in enhancing user engagement and satisfaction.The paper "CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models" explores the customization and interaction of agent personas in large language models (LLMs). The authors introduce CloChat, an interface that allows users to create and customize agent personas with distinct traits and conversational styles. The study compares CloChat with ChatGPT, finding that participants formed deeper emotional connections and engaged in more dynamic dialogues with customized agents. Key findings include: 1. **Enhanced User Experience**: Participants reported higher satisfaction, engagement, and future interaction likelihood with CloChat compared to ChatGPT. 2. **Diverse and Dynamic Dialogues**: Customized agents led to richer and more varied conversations. 3. **Emotional and Trustful Connections**: Users showed increased trust and emotional resonance with the customized agents. The research contributes to the design of future conversational systems by providing insights into user preferences and interaction dynamics, emphasizing the importance of personalized agent personas in enhancing user engagement and satisfaction.