On the usability of generative AI: Human generative AI
It addresses usability issues for users of generative AI, but it is incremental as it reviews existing factors without introducing new methods.
This paper examines usability challenges in generative AI systems, such as unpredictability and fine-tuning difficulties, and reviews evaluation metrics like efficiency and satisfaction to highlight best practices for improvement.
Generative AI systems are transforming content creation, but their usability remains a key challenge. This paper examines usability factors such as user experience, transparency, control, and cognitive load. Common challenges include unpredictability and difficulties in fine-tuning outputs. We review evaluation metrics like efficiency, learnability, and satisfaction, highlighting best practices from various domains. Improving interpretability, intuitive interfaces, and user feedback can enhance usability, making generative AI more accessible and effective.