User Experience Design Professionals' Perceptions of Generative Artificial Intelligence

被引:28
作者
Li, Jie [1 ]
Cao, Hancheng [2 ]
Lin, Laura [3 ]
Hou, Youyang [4 ]
Zhu, Ruihao [5 ]
El Ali, Abdallah [6 ]
机构
[1] EPAM, Amsterdam, Netherlands
[2] Stanford Univ, Stanford, CA USA
[3] Google, Mountain View, CA USA
[4] Not Labs, San Francisco, CA USA
[5] Cornell Univ, Ithaca, NY USA
[6] Ctr Wiskunde & Informat, Amsterdam, Netherlands
来源
PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2024 | 2024年
关键词
Generative AI; UX Designers; Responsible AI; User Experience; Human-AI Collaboration;
D O I
10.1145/3613904.3642114
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Among creative professionals, Generative Artificial Intelligence (GenAI) has sparked excitement over its capabilities and fear over unanticipated consequences. How does GenAI impact User Experience Design (UXD) practice, and are fears warranted? We interviewed 20 UX Designers, with diverse experience and across companies (startups to large enterprises). We probed them to characterize their practices, and sample their attitudes, concerns, and expectations. We found that experienced designers are confident in their originality, creativity, and empathic skills, and find GenAI's role as assistive. They emphasized the unique human factors of "enjoyment" and "agency", where humans remain the arbiters of "AI alignment". However, skill degradation, job replacement, and creativity exhaustion can adversely impact junior designers. We discuss implications for human-GenAI collaboration, specifically copyright and ownership, human creativity and agency, and AI literacy and access. Through the lens of responsible and participatory AI, we contribute a deeper understanding of GenAI fears and opportunities for UXD.
引用
收藏
页数:18
相关论文
共 109 条
[1]   User Experience Design Using Machine Learning: A Systematic Review [J].
Abbas, Abdallah M. H. ;
Ghauth, Khairil Imran ;
Ting, Choo-Yee .
IEEE ACCESS, 2022, 10 :51501-51514
[2]  
Achiam Josh, 2023, GPT-4 Technical Report
[3]   Guidelines for Human-AI Interaction [J].
Amershi, Saleema ;
Weld, Dan ;
Vorvoreanu, Mihaela ;
Fourney, Adam ;
Nushi, Besmira ;
Collisson, Penny ;
Suh, Jina ;
Iqbal, Shamsi ;
Bennett, Paul N. ;
Inkpen, Kori ;
Teevan, Jaime ;
Kikin-Gil, Ruth ;
Horvitz, Eric .
CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,
[4]  
[Anonymous], 2019, HUMAN COMPUTER INTER, DOI DOI 10.1007/978-3-030-29390-145
[5]  
[Anonymous], P 5 INT C CONV US IN
[6]   Strategy in the Age of Artificial Intelligence [J].
Ayoub, Kareem ;
Payne, Kenneth .
JOURNAL OF STRATEGIC STUDIES, 2016, 39 (5-6) :793-819
[7]   On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? [J].
Bender, Emily M. ;
Gebru, Timnit ;
McMillan-Major, Angelina ;
Shmitchell, Shmargaret .
PROCEEDINGS OF THE 2021 ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, FACCT 2021, 2021, :610-623
[8]   Power to the People? Opportunities and Challenges for Participatory AI [J].
Birhane, Abeba ;
Isaac, William ;
Prabhakaran, Vinodkumar ;
Diaz, Mark ;
Elish, Madeleine Clare ;
Gabriel, Iason ;
Mohamed, Shakir .
ACM CONFERENCE ON EQUITY AND ACCESS IN ALGORITHMS, MECHANISMS, AND OPTIMIZATION, EAAMO 2022, 2022,
[9]  
Bommasani Rishi, 2022, arXiv
[10]  
Borsos Zalan, 2022, arXiv