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Addressing UX Practitioners' Challenges in Designing ML Applications: an Interactive Machine Learning Approach
23 February 2023
K. J. Kevin Feng
David W. McDonald
HAI
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Papers citing
"Addressing UX Practitioners' Challenges in Designing ML Applications: an Interactive Machine Learning Approach"
13 / 13 papers shown
Title
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
FAtt
HAI
57
0
0
14 Apr 2025
Peek into the `White-Box': A Field Study on Bystander Engagement with Urban Robot Uncertainty
Xinyan Yu
Marius Hoggenmueller
Tram Thi Minh Tran
Yiyuan Wang
Qiuming Zhang
M. Tomitsch
32
0
0
01 Mar 2025
Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review
Amruta Mahuli
Asia J. Biega
28
0
0
01 Aug 2024
From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction
Muhammad Raees
Inge Meijerink
Ioanna Lykourentzou
Vassilis-Javed Khan
Konstantinos Papangelis
30
24
0
23 May 2024
Establishing Heuristics for Improving the Usability of GUI Machine Learning Tools for Novice Users
Asma Z. Yamani
Haifa Al-Shammare
Malak Baslyman
21
0
0
14 May 2024
In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMaker
S. Petridis
Michael Xieyang Liu
Alexander J. Fiannaca
Vivian Tsai
Michael Terry
Carrie J. Cai
48
0
0
06 May 2024
Take It, Leave It, or Fix It: Measuring Productivity and Trust in Human-AI Collaboration
Crystal Qian
James Wexler
40
9
0
28 Feb 2024
Mapping the Design Space of Teachable Social Media Feed Experiences
K. J. Kevin Feng
Xander Koo
Lawrence Tan
Amy Bruckman
David W. McDonald
Amy X. Zhang
27
14
0
25 Jan 2024
Canvil: Designerly Adaptation for LLM-Powered User Experiences
K. J. Kevin Feng
Q. V. Liao
Ziang Xiao
Jennifer Wortman Vaughan
Amy X. Zhang
David W. McDonald
39
16
0
17 Jan 2024
How Do UX Practitioners Communicate AI as a Design Material? Artifacts, Conceptions, and Propositions
K. J. Kevin Feng
Maxwell James Coppock
David W. McDonald
21
21
0
27 May 2023
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
Doris Xin
Eva Yiwei Wu
D. Lee
Niloufar Salehi
Aditya G. Parameswaran
53
91
0
13 Jan 2021
Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry
J. Benjamin
Arne Berger
Nick Merrill
James Pierce
36
91
0
11 Jan 2021
AutoML to Date and Beyond: Challenges and Opportunities
Shubhra (Santu) Karmaker
Md. Mahadi Hassan
Micah J. Smith
Lei Xu
Chengxiang Zhai
K. Veeramachaneni
73
225
0
21 Oct 2020
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