Integrating cognitive ergonomics with LLMs is essential for enhancing safety, reliability, and user satisfaction in human-AI interactions. Current LLM design often lacks this integration, leading to systems that may not fully align with human cognitive capabilities and limitations. Insufficient focus on incorporating cognitive science methods exacerbates biases in LLM outputs, while inconsistent application of user-centered design principles results in sub-optimal user experiences. To address these challenges, our position paper explores the critical integration of cognitive ergonomics principles into LLM design, aiming to provide a comprehensive framework and practical guidelines for ethical LLM development. Through our contributions, we seek to advance understanding and practice in integrating cognitive ergonomics into LLM systems, fostering safer, more reliable, and ethically sound human-AI interactions.

翻译：将认知工效学与大型语言模型（LLM）相结合，对于提升人机交互的安全性、可靠性与用户满意度至关重要。当前LLM设计往往缺乏这种融合，导致系统可能无法完全契合人类的认知能力与局限。由于对认知科学方法的融入关注不足，LLM输出中的偏差问题被进一步放大；同时，以用户为中心的设计原则应用不一致，也导致了次优的用户体验。为应对这些挑战，本立场论文探讨了将认知工效学原则深度融入LLM设计的关键路径，旨在为符合伦理的LLM开发提供一个综合性框架与实践指南。通过我们的研究贡献，我们期望推动认知工效学与LLM系统融合的理解与实践，促进更安全、更可靠且符合伦理的人机交互。