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

Authors:

K. J. Kevin Feng,

David W. McdonaldAuthors Info & Claims

IUI '23: Proceedings of the 28th International Conference on Intelligent User Interfaces

Pages 337 - 352

https://doi.org/10.1145/3581641.3584064

Published: 27 March 2023 Publication History

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Abstract

UX practitioners face novel challenges when designing user interfaces for machine learning (ML)-enabled applications. Interactive ML paradigms, like AutoML and interactive machine teaching, lower the barrier for non-expert end users to create, understand, and use ML models, but their application to UX practice is largely unstudied. We conducted a task-based design study with 27 UX practitioners where we asked them to propose a proof-of-concept design for a new ML-enabled application. During the task, our participants were given opportunities to create, test, and modify ML models as part of their workflows. Through a qualitative analysis of our post-task interview, we found that direct, interactive experimentation with ML allowed UX practitioners to tie ML capabilities and underlying data to user goals, compose affordances to enhance end-user interactions with ML, and identify ML-related ethical risks and challenges. We discuss our findings in the context of previously established human-AI guidelines. We also identify some limitations of interactive ML in UX processes and propose research-informed machine teaching as a supplement to future design tools alongside interactive ML.

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Cited By

Feng KKoo XTan LBruckman AMcDonald DZhang A(2024)Mapping the Design Space of Teachable Social Media Feed ExperiencesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642120(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642120
Yamani AAl-Shammare HBaslyman M(2024)Establishing Heuristics for Improving the Usability of GUI Machine Learning Tools for Novice UsersProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642087(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642087
Gómez-Carmona OCasado-Mansilla DLópez-de-Ipiña DGarcía-Zubia J(2024)Human-in-the-loop machine learning: Reconceptualizing the role of the user in interactive approachesInternet of Things10.1016/j.iot.2023.10104825(101048)Online publication date: Apr-2024
https://doi.org/10.1016/j.iot.2023.101048
Show More Cited By

Index Terms

Addressing UX Practitioners’ Challenges in Designing ML Applications: an Interactive Machine Learning Approach
1. Human-centered computing
  1. Interaction design
    1. Empirical studies in interaction design

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IUI '23: Proceedings of the 28th International Conference on Intelligent User Interfaces

March 2023

972 pages

ISBN:9798400701061

DOI:10.1145/3581641

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Cited By

Feng KKoo XTan LBruckman AMcDonald DZhang A(2024)Mapping the Design Space of Teachable Social Media Feed ExperiencesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642120(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642120
Yamani AAl-Shammare HBaslyman M(2024)Establishing Heuristics for Improving the Usability of GUI Machine Learning Tools for Novice UsersProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642087(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642087
Gómez-Carmona OCasado-Mansilla DLópez-de-Ipiña DGarcía-Zubia J(2024)Human-in-the-loop machine learning: Reconceptualizing the role of the user in interactive approachesInternet of Things10.1016/j.iot.2023.10104825(101048)Online publication date: Apr-2024
https://doi.org/10.1016/j.iot.2023.101048
Raees MMeijerink ILykourentzou IKhan VPapangelis K(2024)From explainable to interactive AI: A literature review on current trends in human-AI interactionInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103301189(103301)Online publication date: Sep-2024
https://doi.org/10.1016/j.ijhcs.2024.103301
Feng KCoppock MMcDonald D(2023)How Do UX Practitioners Communicate AI as a Design Material? Artifacts, Conceptions, and PropositionsProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596101(2263-2280)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.1145/3563657.3596101

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