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

Nur Yildirim; Alex Kass; Teresa Tung; Connor Upton; Donnacha Costello; Robert Giusti; Sinem Lacin; Sara Lovic; James M. O'Neill; Rudi O.Reilly Meehan; Eoin Ó Loideáin; Azzurra Pini; Medb Corcoran; Jeremiah Hayes; Diarmuid J. Cahalane; Gaurav Shivhare; Luigi Castoro; Giovanni Caruso; Changhoon Oh; James McCann; Jodi Forlizzi; John Zimmerman

doi:10.1145/3491102.3517491

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

Nur Yildirim, Alex Kass, Teresa Tung, Connor Upton, Donnacha Costello, Robert Giusti, Sinem Lacin, Sara Lovic, James M. O'Neill, Rudi O.Reilly Meehan, Eoin Ó Loideáin, Azzurra Pini, Medb Corcoran, Jeremiah Hayes, Diarmuid J. Cahalane, Gaurav Shivhare, Luigi Castoro, Giovanni Caruso, Changhoon Oh, James McCannJodi Forlizzi, John Zimmerman

Graduate School of Information

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 Citations (Scopus)

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.

Original language	English
Title of host publication	CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450391573
DOIs	https://doi.org/10.1145/3491102.3517491
Publication status	Published - 2022 Apr 29
Event	2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 - Virtual, Online, United States Duration: 2022 Apr 30 → 2022 May 5

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
Country/Territory	United States
City	Virtual, Online
Period	22/4/30 → 22/5/5

Bibliographical note

Publisher Copyright:
© 2022 Owner/Author.

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Computer Graphics and Computer-Aided Design
Software

Access to Document

10.1145/3491102.3517491

Cite this

Yildirim, N., Kass, A., Tung, T., Upton, C., Costello, D., Giusti, R., Lacin, S., Lovic, S., O'Neill, J. M., Meehan, R. O. R., Ó Loideáin, E., Pini, A., Corcoran, M., Hayes, J., Cahalane, D. J., Shivhare, G., Castoro, L., Caruso, G., Oh, C., ... Zimmerman, J. (2022). How Experienced Designers of Enterprise Applications Engage AI as a Design Material. In CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems Article 483 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3491102.3517491

@inproceedings{c0e2d08c5f404101aa541412c56118b5,

title = "How Experienced Designers of Enterprise Applications Engage AI as a Design Material",

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.",

author = "Nur Yildirim and Alex Kass and Teresa Tung and Connor Upton and Donnacha Costello and Robert Giusti and Sinem Lacin and Sara Lovic and O'Neill, {James M.} and Meehan, {Rudi O.Reilly} and {{\'O} Loide{\'a}in}, Eoin and Azzurra Pini and Medb Corcoran and Jeremiah Hayes and Cahalane, {Diarmuid J.} and Gaurav Shivhare and Luigi Castoro and Giovanni Caruso and Changhoon Oh and James McCann and Jodi Forlizzi and John Zimmerman",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 ; Conference date: 30-04-2022 Through 05-05-2022",

year = "2022",

month = apr,

day = "29",

doi = "10.1145/3491102.3517491",

language = "English",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "Association for Computing Machinery",

booktitle = "CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems",

}

Yildirim, N, Kass, A, Tung, T, Upton, C, Costello, D, Giusti, R, Lacin, S, Lovic, S, O'Neill, JM, Meehan, ROR, Ó Loideáin, E, Pini, A, Corcoran, M, Hayes, J, Cahalane, DJ, Shivhare, G, Castoro, L, Caruso, G, Oh, C, McCann, J, Forlizzi, J & Zimmerman, J 2022, How Experienced Designers of Enterprise Applications Engage AI as a Design Material. in CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems., 483, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022, Virtual, Online, United States, 22/4/30. https://doi.org/10.1145/3491102.3517491

How Experienced Designers of Enterprise Applications Engage AI as a Design Material. / Yildirim, Nur; Kass, Alex; Tung, Teresa et al.
CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2022. 483 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - How Experienced Designers of Enterprise Applications Engage AI as a Design Material

AU - Yildirim, Nur

AU - Kass, Alex

AU - Tung, Teresa

AU - Upton, Connor

AU - Costello, Donnacha

AU - Giusti, Robert

AU - Lacin, Sinem

AU - Lovic, Sara

AU - O'Neill, James M.

AU - Meehan, Rudi O.Reilly

AU - Ó Loideáin, Eoin

AU - Pini, Azzurra

AU - Corcoran, Medb

AU - Hayes, Jeremiah

AU - Cahalane, Diarmuid J.

AU - Shivhare, Gaurav

AU - Castoro, Luigi

AU - Caruso, Giovanni

AU - Oh, Changhoon

AU - McCann, James

AU - Forlizzi, Jodi

AU - Zimmerman, John

PY - 2022/4/29

Y1 - 2022/4/29

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85130539372&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85130539372&partnerID=8YFLogxK

U2 - 10.1145/3491102.3517491

DO - 10.1145/3491102.3517491

M3 - Conference contribution

AN - SCOPUS:85130539372

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022

Y2 - 30 April 2022 through 5 May 2022

ER -

Yildirim N, Kass A, Tung T, Upton C, Costello D, Giusti R et al. How Experienced Designers of Enterprise Applications Engage AI as a Design Material. In CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2022. 483. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3491102.3517491

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

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this