Bridging the automated machine learning transparency and usability gap for non-experts: a user-centered design and evaluation study

Bridging the automated machine learning transparency and usability gap for non-experts: a user-centered design and evaluation study

The inherent complexity of Artificial Intelligence (AI) and Machine Learning (ML) tools creates significant barriers for non-expert users. Traditional ML workflows require specialized programming and statistical knowledge, limiting widespread adoption across various domains where these technologies...

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Bibliographic Details
Main Author: Sahidon, Muhammad Alif Danial
Format: Thesis (University of Nottingham only)
Language:English
Published: 2025
Subjects:
automated machine learning (AutoML); non‑expert users; explainable AI (XAI); user‑centered design; technology acceptance model (TAM)
Online Access:https://eprints.nottingham.ac.uk/81343/

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