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，导致系统可能无法充分契合人类的认知能力与局限。对认知科学方法融入的重视不足加剧了LLM输出中的偏见，而以用户为中心的设计原则应用不一致则导致了次优的用户体验。为应对这些挑战，本立场论文探讨将认知工效学原则深度整合至LLM设计中的关键路径，旨在为符合伦理的LLM开发提供综合框架与实践指南。通过本研究的贡献，我们期望推动认知工效学融入LLM系统的理解与实践，促进更安全、可靠且符合伦理的人机交互。