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

要旨

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.

著者
Nur Yildirim
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Alex Kass
Accenture, San Jose, California, United States
Teresa Tung
Accenture Labs, San Jose, California, United States
Connor Upton
Fjord at the Dock, Dublin, Ireland
Donnacha Costello
Fjord at the Dock, Dublin, Ireland
Robert Giusti
Fjord, Dublin, Ireland
Sinem Lacin
Fjord at the Dock, Dublin, Ireland
Sara Lovic
Fjord at the Dock, Dublin, Ireland
James M. O'Neill
Fjord, Dublin, Ireland
Rudi O'Reilly Meehan
Fjord at the Dock, Dublin, Ireland
Eoin Ó Loideáin
Fjord , Dublin, Ireland
Azzurra Pini
Accenture The Dock, Dublin, Ireland
Medb Corcoran
Accenture The Dock, Dublin, Ireland
Jeremiah Hayes
Accenture The Dock, Dublin, Ireland
Diarmuid J. Cahalane
Accenture Labs, Dublin, Ireland
Gaurav Shivhare
Fjord at the Dock, Dublin, Ireland
Luigi Castoro
Accenture, Bologne, Italy
Giovanni Caruso
Accenture, MILANO, Italy
Changhoon Oh
Boston College, Brighton, Massachusetts, United States
James McCann
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Jodi Forlizzi
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
John Zimmerman
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517491

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Design Practice

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5 件の発表
2022-05-03 20:00:00
2022-05-03 21:15:00