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

How Experienced Designers of Enterprise Applications Engage AI as a Design Material
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DOI:
10.1145/3491102.3517491
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发表时间:
2022-04
期刊:
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Nur Yildirim;A. Kass;Teresa Tung;C. Upton;Donnacha Costello;R. Giusti;Sinem Lacin;Sara Lovic;James M. O'Neill;Rudi O'Reilly Meehan;Eoin Ó Loideáin;Azzurra Pini;Medb Corcoran;Jeremiah Hayes;Diarmuid Cahalane;Gaurav Shivhare;Luigi Castoro;Giovanni Caruso;Changhoon Oh;James Mccann;J. Forlizzi;J. Zimmerman
Nur Yildirim;A. Kass;Teresa Tung;C. Upton;Donnacha Costello;R. Giusti;Sinem Lacin;Sara Lovic;James M. O'Neill;Rudi O'Reilly Meehan;Eoin Ó Loideáin;Azzurra Pini;Medb Corcoran;Jeremiah Hayes;Diarmuid Cahalane;Gaurav Shivhare;Luigi Castoro;Giovanni Caruso;Changhoon Oh;James Mccann;J. Forlizzi;J. Zimmerman
中科院分区:
其他
文献类型:
--
作者:
Nur Yildirim;A. Kass;Teresa Tung;C. Upton;Donnacha Costello;R. Giusti;Sinem Lacin;Sara Lovic;James M. O'Neill;Rudi O'Reilly Meehan;Eoin Ó Loideáin;Azzurra Pini;Medb Corcoran;Jeremiah Hayes;Diarmuid Cahalane;Gaurav Shivhare;Luigi Castoro;Giovanni Caruso;Changhoon Oh;James Mccann;J. Forlizzi;J. Zimmerman

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HCI研究已经将人工智能作为一种设计材料进行了探索,这表明设计师可以设想人工智能的设计机会来改善用户体验。最近的研究表明,企业应用程序为用户体验层面的人工智能创新提供了机会。我们举办了设计研讨会,以探索在企业跨职能AI团队中工作的经验丰富的设计师的实践。我们讨论了设计师如何成功地与AI合作。我们的研究结果表明,设计师可以在系统和服务层面进行创新。我们还发现,当设计师提出AI概念和想法时,说明AI功能的投资回报是一个障碍。我们的讨论产生了关于设计师在人工智能团队中的角色以及他们用于与数据科学家合作的边界对象的新颖见解。我们讨论了这些发现的意义,作为未来研究的机会,旨在赋予设计师使用数据和人工智能的能力。
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.