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This is a Literature Review study.

October 7, 2025Open Access

On the usability of generative AI: Human generative AI

Key Points

Improving usability in generative AI can lead to enhanced user experience and effectiveness.
Key factors like user experience, control, and cognitive load significantly impact usability.
Evaluation metrics such as efficiency, learnability, and satisfaction are essential for assessing usability.
Transparency and intuitive interfaces are critical for making generative AI more accessible to users.

Abstract

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.

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Cite This Study

Ravera et al. (Mon,) studied this question.

synapsesocial.com/papers/68e585d0b1e78cc4e5f464e6 https://doi.org/https://doi.org/10.48550/arxiv.2502.17714

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