Artificial Intelligence in UX/UI Design: A Research Framework for Exploring the Impact of Artificial Intelligence Tools on Design Quality

被引:0
|
作者
Schoenberger, Marius [1 ]
机构
[1] Univ Appl Sci Kaiserslautern, Zweibrucken, Germany
关键词
Artificial Intelligence; UX/UI design; Design quality;
D O I
10.1007/978-981-97-5035-1_40
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The integration of Artificial Intelligence (AI) tools into the User Experience/User Interface (UX/UI) design process poses challenges and opportunities. While AI can enhance efficiency and innovation, it raises questions about the changing role of designers and the potential risks associated with reduced human control. The rapid growth of AI technology in UX/UI design requires a comprehensive understanding of how AI can effectively complement human creativity and intuition, ensuring high-quality design outcomes while addressing concerns about job displacement and autonomy. This study develops a research framework that explores the interplay between AI applications and human skills in the context of modern UX/UI design. The framework aims to examine the impact of AI on design quality and how various factors moderate this influence. The hypotheses suggest that AI applications and user skills have a positive effect on design quality, but their impact is moderated by factors such as design complexity, user expectations, and collaboration. The research methodology combines literature review, data collection through surveys, data analysis, and expert evaluation to test these hypotheses rigorously. This research provides a foundation for further exploration of AI's role in UI/UX design, offering opportunities for examining its impact in diverse organizational contexts, user groups, and long-term UX effects. Ultimately, the study aims to enhance UI/UX design practices through informed AI integration.
引用
收藏
页码:511 / 524
页数:14
相关论文
共 50 条
  • [21] Ethics by design for artificial intelligence
    Philip Brey
    Brandt Dainow
    AI and Ethics, 2024, 4 (4): : 1265 - 1277
  • [22] Artificial intelligence for drug design
    Aris Persidis
    Andreas Persidis
    Nature Biotechnology, 1997, 15 : 1035 - 1036
  • [23] Chemical design by artificial intelligence
    Ess, Daniel H.
    Jelfs, Kim E.
    Kulik, Heather J.
    JOURNAL OF CHEMICAL PHYSICS, 2022, 157 (12):
  • [24] Artificial intelligence for drug design
    Persidis, A
    Persidis, A
    NATURE BIOTECHNOLOGY, 1997, 15 (10) : 1035 - 1036
  • [25] Artificial Intelligence in Drug Design
    Hessler, Gerhard
    Baringhaus, Karl-Heinz
    MOLECULES, 2018, 23 (10):
  • [26] Artificial intelligence, design and shipbuilding
    Accenti, Ettore
    GALLERIE E GRANDI OPERE SOTTERRANEE, 2020, (134): : 49 - 52
  • [27] Artificial intelligence in drug design
    Zhong, Feisheng
    Xing, Jing
    Li, Xutong
    Liu, Xiaohong
    Fu, Zunyun
    Xiong, Zhaoping
    Lu, Dong
    Wu, Xiaolong
    Zhao, Jihui
    Tan, Xiaoqin
    Li, Fei
    Luo, Xiaomin
    Li, Zhaojun
    Chen, Kaixian
    Zheng, Mingyue
    Jiang, Hualiang
    SCIENCE CHINA-LIFE SCIENCES, 2018, 61 (10) : 1191 - 1204
  • [28] A Design of Artificial Intelligence Education
    Chan, H. Anthony
    Hodgson, Paul
    Cheung, William
    Chan, LapLi
    Tam, Hilman
    Tsang, Keith
    2023 IEEE INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT AND LEARNING FOR ENGINEERING, TALE, 2023, : 120 - 127
  • [29] Automating Design Review with Artificial Intelligence and BIM: State of the Art and Research Framework
    Sacks, Rafael
    Bloch, Tanya
    Katz, Meir
    Yosef, Raz
    COMPUTING IN CIVIL ENGINEERING 2019: VISUALIZATION, INFORMATION MODELING, AND SIMULATION, 2019, : 353 - 360
  • [30] AI Design: A Responsible Artificial Intelligence Framework for Prefilling Impact Assessment Reports
    Bogucka, Edyta
    Constantinides, Marios
    Scepanovic, Sanja
    Quercia, Daniele
    IEEE INTERNET COMPUTING, 2024, 28 (05) : 37 - 45