Machine learning (ML) is now a fairly established technology, and user experience (UX)
designers appear regularly to integrate ML services in new apps, devices, and systems …

Machine learning (ML) plays an increasingly important role in improving a user's
experience. However, most UX practitioners face challenges in understanding ML's …

HCI has become particularly interested in using machine learning (ML) to improve user
experience (UX). However, some design researchers claim that there is a lack of design …

Opportunities for AI and machine learning (ML) are vast in current interactive systems
development. However, comparatively little is known about how functionality for the system …

User interface (UI) and user experience (UX) design have become an indispensable part of
today's tech industry. Recently, much progress has been made in machine-learning-enabled …

Machine learning is being adopted in a wide range of products and services. Despite its
adoption, design and research processes for machine learning experiences have yet to be …

Machine learning (ML) poses complex challenges for user experience (UX) designers.
Typically unpredictable and opaque, it may produce unforeseen outcomes detrimental to …

I design user experiences for machine learning (ML) applications across several application
domains, from clinical decision support systems to context-aware mobile services, to …

Since the third wave in human–computer interaction (HCI), research on user experience
(UX) has gained momentum within the HCI community. The focus has shifted from …

User experience (UX) has undergone a revolution in collaborative practices, due to tools
that enable quick feedback and continuous collaboration with a varied team across a …