AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI Researchers

Understand

The increasing integration of machine learning across various domains has underscored the necessity for accessible systems that non-experts can utilize effectively.

• To address this need, the field of automated machine learning (AutoML) has developed tools to simplify the construction and optimization of ML pipelines.
• However, existing AutoML solutions often lack efficiency in creating online pipelines and ease of use for Human-Computer Interaction (HCI) applications.
• Therefore, in this paper, we introduce AdaptoML-UX, an adaptive framework that incorporates automated feature engineering, machine learning, and incremental learning to assist non-AI experts in developing robust, user-centered ML models.