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Addressing UX Practitioners' Challenges in Designing ML Applications: an
  Interactive Machine Learning Approach

Addressing UX Practitioners' Challenges in Designing ML Applications: an Interactive Machine Learning Approach

International Conference on Intelligent User Interfaces (IUI), 2023
23 February 2023
K. J. Kevin Feng
David W. McDonald
    HAI
ArXiv (abs)PDFHTML

Papers citing "Addressing UX Practitioners' Challenges in Designing ML Applications: an Interactive Machine Learning Approach"

3 / 3 papers shown
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Indu Panigrahi
Sunnie S. Y. Kim
Amna Liaqat
Rohan Jinturkar
Olga Russakovsky
Ruth C. Fong
Parastoo Abtahi
FAttHAI
465
2
0
14 Apr 2025
Take It, Leave It, or Fix It: Measuring Productivity and Trust in
  Human-AI Collaboration
Take It, Leave It, or Fix It: Measuring Productivity and Trust in Human-AI Collaboration
Crystal Qian
James Wexler
338
21
0
28 Feb 2024
Canvil: Designerly Adaptation for LLM-Powered User Experiences
Canvil: Designerly Adaptation for LLM-Powered User ExperiencesInternational Conference on Human Factors in Computing Systems (CHI), 2024
K. J. Kevin Feng
Q. V. Liao
Ziang Xiao
Jennifer Wortman Vaughan
Amy X. Zhang
David W. McDonald
201
22
0
17 Jan 2024
1
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