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How Experienced Designers of Enterprise Applications Engage AI as a Design Material

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Article No.: 483, Pages 1 - 13

https://doi.org/10.1145/3491102.3517491

Published: 29 April 2022 Publication History

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Abstract

HCI research has explored AI as a design material, suggesting that designers can envision AI’s design opportunities to improve UX. Recent research claimed that enterprise applications offer an opportunity for AI innovation at the user experience level. We conducted design workshops to explore the practices of experienced designers who work on cross-functional AI teams in the enterprise. We discussed how designers successfully work with and struggle with AI. Our findings revealed that designers can innovate at the system and service levels. We also discovered that making a case for an AI feature’s return on investment is a barrier for designers when they propose AI concepts and ideas. Our discussions produced novel insights on designers’ role on AI teams, and the boundary objects they used for collaborating with data scientists. We discuss the implications of these findings as opportunities for future research aiming to empower designers in working with data and AI.

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Cited By

Muralikumar MMcDonald D(2025)An Emerging Design Space of How Tools Support Collaborations in AI Design and DevelopmentProceedings of the ACM on Human-Computer Interaction10.1145/37011819:1(1-28)Online publication date: 10-Jan-2025
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Index Terms

How Experienced Designers of Enterprise Applications Engage AI as a Design Material
1. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods

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cover image ACM Conferences

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

April 2022

10459 pages

ISBN:9781450391573

DOI:10.1145/3491102

Editors:
Simone Barbosa
PUC-Rio, Brazil
,
Cliff Lampe
University of Michigan, USA
,
Caroline Appert
Université Paris-Saclay, France
,
David A. Shamma
Toyota Research Institute, USA
,
Steven Drucker
Microsoft Research, USA
,
Julie Williamson
University of Glasgow, UK
,
Koji Yatani
University of Tokyo, Japan

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This work is licensed under a Creative Commons Attribution-NoDerivatives International 4.0 License.

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https://dl.acm.org/doi/10.1145/3701181
Jin YYoon JSelf JLee K(2024)Understanding Fashion Designers’ Behavior Using Generative AI for Early-Stage Concept Ideation and RevisionArchives of Design Research10.15187/adr.2024.07.37.3.2537:3(25-45)Online publication date: 31-Jul-2024
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Muralikumar MMcDonald D(2024)Analyzing Collaborative Challenges and Needs of UX Practitioners when Designing with AI/MLProceedings of the ACM on Human-Computer Interaction10.1145/36869868:CSCW2(1-25)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686986
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