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Bridging the Gap Between UX Practitioners’ Work Practices and AI-Enabled Design Support Tools

Published: 28 April 2022 Publication History

Abstract

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 design support tools for UX designers. However, few of these tools have been adopted by practitioners. To learn the underlying reasons and understand user needs for bridging this gap, we conducted a retrospective analysis with 8 UX professionals to understand their practice and identify opportunities for future research. We found that the current AI-enabled systems to support UX work mainly work on graphical interface elements, while design activities that involve more ‘design thinking” such as user interviews and user testings are more helpful for designers. Many current systems were also designed for overly-simplistic and generic use scenarios. We identified 4 areas in the UX workflow that can benefit from additional AI-enabled assistance: design inspiration search, design alternative exploration, design system customization, and design guideline violation check.

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cover image ACM Conferences
CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
April 2022
3066 pages
ISBN:9781450391566
DOI:10.1145/3491101
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 28 April 2022

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Author Tags

  1. Human-AI Collaboration
  2. User Experience (UX)
  3. data-driven design
  4. design-support tools

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  • Poster
  • Research
  • Refereed limited

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  • Asia Research Collaboration Grant from Notre Dame International
  • Google Cloud Research Credit Grant

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CHI '22
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CHI '22: CHI Conference on Human Factors in Computing Systems
April 29 - May 5, 2022
LA, New Orleans, USA

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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  • (2024)DesignPrompt: Using Multimodal Interaction for Design Exploration with Generative AIProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661588(804-818)Online publication date: 1-Jul-2024
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