Large language models (LLMs) have demonstrated remarkable potential in natural language understanding and generation, making them valuable tools for enhancing conversational interactions. However, LLMs encounter challenges such as lacking multi-step reasoning capabilities, and heavy reliance on prompts. In this regard, we introduce a prompt-refinement system named PromptMind, also known as "Prompt Your Mind", to provide an automated solution for generating contextually relevant prompts during conversations. PromptMind enhances the overall interaction between humans and chatbots through an automatic prompt suggestion and an automatic prompt refinement. To assess the effectiveness of PromptMind, we designed three interaction tasks to evaluate emotional support, advice acquisition, and task-oriented interactions during human-chatbot interactions. The results demonstrated that PromptMind reduced mental demands during interactions and fostered enhanced performance and social connections between users and chatbots. In summary, our findings indicate that PromptMind acts as a bridge, facilitating smoother information exchange and enhancing the usability of chatbot interactions.

翻译：大型语言模型（LLMs）在自然语言理解和生成方面展现出显著潜力，使其成为增强对话交互的宝贵工具。然而，LLMs面临缺乏多步推理能力以及对提示高度依赖等挑战。为此，我们引入了一个名为PromptMind（亦称“在你的思维中提示”）的提示优化系统，旨在为对话过程中生成上下文相关的提示提供自动化解决方案。PromptMind通过自动提示建议和自动提示优化，增强了人类与聊天机器人之间的整体交互。为评估PromptMind的有效性，我们设计了三种交互任务，分别评估人机交互过程中的情感支持、建议获取以及面向任务的交互。结果表明，PromptMind降低了交互过程中的心智负担，促进了用户与聊天机器人之间的性能提升和社会联系。总之，我们的研究结果表明，PromptMind作为一座桥梁，促进了更流畅的信息交换，并增强了聊天机器人交互的可用性。