CogErgLLM: Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomics

TL;DR

This paper emphasizes the importance of integrating cognitive ergonomics into large language model design to enhance safety, reliability, and user satisfaction in human-AI interactions, proposing a framework and guidelines for ethical development.

Contribution

It introduces a comprehensive framework and practical guidelines for incorporating cognitive ergonomics into LLM systems, addressing current design shortcomings.

Findings

Highlights the lack of cognitive ergonomics in current LLM designs

Proposes a framework for human-centered LLM development

Aims to improve safety, reliability, and ethics in human-AI interactions

Abstract

Integrating cognitive ergonomics with LLMs is crucial for improving safety, reliability, and user satisfaction in human-AI interactions. Current LLM designs often lack this integration, resulting in systems that may not fully align with human cognitive capabilities and limitations. This oversight exacerbates biases in LLM outputs and leads to suboptimal user experiences due to inconsistent application of user-centered design principles. Researchers are increasingly leveraging NLP, particularly LLMs, to model and understand human behavior across social sciences, psychology, psychiatry, health, and neuroscience. Our position paper explores the need to integrate cognitive ergonomics into LLM design, providing a comprehensive framework and practical guidelines for ethical development. By addressing these challenges, we aim to advance safer, more reliable, and ethically sound human-AI interactions.