Cited By
View all- Ma HLi N(2024)Exploring User Behavioral Intentions and Their Relationship With AI Design Tools: A Future Outlook on Intelligent DesignIEEE Access10.1109/ACCESS.2024.344108812(149192-149205)Online publication date: 2024
Concerns and Challenges of AI Tools in the UI/UX Design Process: A Cross-Sectional Survey
Article No.: 83, Pages 1 - 6
Abstract
The study aimed to gain a comprehensive understanding of AI integration in UI/UX design process from the perspective of professionals directly engaged with these tools. Two surveys were conducted in August 2023, to explore attitudes, ethical concerns, and future views on AI-assisted design technologies through both closed and open-ended questions. Using both thematic and descriptive analyses, the results showed that designers were cautiously optimistic about AI tools. This shows how important it is to think about ethics, understand how AI works, and find a good balance between integrating AI into the design workflow. These insights are crucial for AI tool developers, design educators, and the design community to develop more effective, ethical, and user-centric AI tools.
Supplemental Material
- Download
- 1.53 MB
- Transcript
- Download
- 7.32 MB
- Transcript
References
[1]
Sumeen Agrawal, Manith Shetty, Sripurna Mutalik, and Anuradha Kanukotla. 2022. Method to Improve UI Rendering using Predictive Sequence Modelling. In 2022 26th International Conference on Pattern Recognition (ICPR). IEEE, 5031–5037.
[2]
Gérard Assayag. 2016. Improvising in creative symbolic interaction. In Mathemusical conversations: Mathematics and Computation in Music Performance and Composition. World Scientific, 61–74.
[3]
Renato Antonio Bertão and Jaewoo Joo. 2021. Artificial intelligence in UX/UI design: a survey on current adoption and [future] practices. Safe Harbors for Design Research (2021), 1–10.
[4]
Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2 (2006), 77–101. https://doi.org/10.1191/1478088706qp063oa
[5]
Francisco Maria Calisto, João Fernandes, Margarida Morais, Carlos Santiago, João Maria Abrantes, Nuno Nunes, and Jacinto C Nascimento. 2023. Assertiveness-based agent communication for a personalized medicine on medical imaging diagnosis. In Proceedings of the 2023 CHI conference on human factors in computing systems. 1–20.
[6]
Dominik Dellermann, Adrian Calma, Nikolaus Lipusch, Thorsten Weber, Sascha Weigel, and Philipp Ebel. 2021. The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems. arXiv preprint arXiv:2105.03354 (2021).
[7]
KJ Kevin Feng, Tony W Li, and Amy X Zhang. 2023. Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–20.
[8]
Xinyu Guo, Yi Xiao, Jiaqi Wang, and Tie Ji. 2023. Rethinking designer agency: A case study of co-creation between designers and AI. (2023).
[9]
Tiffany Knearem, Mohammed Khwaja, Yuling Gao, Frank Bentley, and Clara E Kliman-Silver. 2023. Exploring the future of design tooling: The role of artificial intelligence in tools for user experience professionals. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. 1–6.
[10]
A Baki Kocaballi. 2023. Conversational ai-powered design: Chatgpt as designer, user, and product. arXiv preprint arXiv:2302.07406 (2023).
[11]
Arthur I Miller. 2019. The artist in the machine: The world of AI-powered creativity. Mit Press.
[12]
Prasadini Padmasiri, Pramukthika Kalutharage, Nethma Jayawardhane, and Jagath Wickramarathne. 2023. AI-Driven User Experience Design: Exploring Innovations and Challenges in Delivering Tailored User Experiences. In 2023 8th International Conference on Information Technology Research (ICITR). IEEE, 1–6.
[13]
Trishan Panch, Heather Mattie, and Rifat Atun. 2019. Artificial intelligence and algorithmic bias: implications for health systems. Journal of global health 9, 2 (2019).
[14]
Inioluwa Deborah Raji and Joy Buolamwini. 2019. Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial ai products. In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society. 429–435.
[15]
Reva Schwartz, Apostol Vassilev, Kristen Greene, Lori Perine, Andrew Burt, Patrick Hall, 2022. Towards a standard for identifying and managing bias in artificial intelligence. NIST special publication 1270, 10.6028 (2022).
[16]
M SureshKumar, G Annamalai, S Kishore Kumar, and N Susila. 2022. AI Based UI Development Using Deep Neural Networks (AI-UI). In 2022 1st International Conference on Computational Science and Technology (ICCST). IEEE, 387–391.
[17]
Daniel Varona and Juan Luis Suárez. 2022. Discrimination, bias, fairness, and trustworthy AI. Applied Sciences 12, 12 (2022), 5826.
[18]
Dieter P Wallach, Lukas A Flohr, and Annika Kaltenhauser. 2020. Beyond the buzzwords: On the perspective of ai in ux and vice versa. In International Conference on human-computer interaction. Springer, 146–166.
[19]
Dakuo Wang, Elizabeth Churchill, Pattie Maes, Xiangmin Fan, Ben Shneiderman, Yuanchun Shi, and Qianying Wang. 2020. From human-human collaboration to Human-AI collaboration: Designing AI systems that can work together with people. In Extended abstracts of the 2020 CHI conference on human factors in computing systems. 1–6.
[20]
Bai Yang, Ying Liu, and Wei Chen. 2023. A twin data-driven approach for user-experience based design innovation. International Journal of Information Management 68 (2023), 102595.
[21]
Zhibin Zhou, Lingyun Sun, Yuyang Zhang, Xuanhui Liu, and Qing Gong. 2020. ML lifecycle canvas: designing machine learning-empowered UX with material lifecycle thinking. Human–Computer Interaction 35, 5-6 (2020), 362–386.
Index Terms
- Concerns and Challenges of AI Tools in the UI/UX Design Process: A Cross-Sectional Survey
Recommendations
Researchers’ Concerns on Artificial Intelligence Ethics: Results from a Scenario-Based Survey
IWSiB '24: Proceedings of the 7th ACM/IEEE International Workshop on Software-intensive BusinessThe ethical impacts of Artificial Intelligence (AI) are causing concern in many areas of AI research and development. The implementation of AI ethics is still, in many ways, a work in progress, but various initiatives are tackling the issues by creating ...
AI as a Co-creator: A Survey on AI Support for Educational Game Authoring Tools
Serious GamesAbstractThe emergence of educational games in teaching environments has shown significant potential to engage and educate students effectively. However, the technical challenges associated with developing such games often deter educators, particularly ...
A classification and review of tools for developing and interacting with machine learning systems
SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied ComputingIn this paper we aim to bring some order to the myriad of tools that have emerged in the field of Artificial Intelligence (AI), focusing on the field of Machine Learning (ML). For this purpose, we suggest a classification of the tools in which the ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
May 2024
4761 pages
ISBN:9798400703317
DOI:10.1145/3613905
Copyright © 2024 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 May 2024
Check for updates
Author Tags
Qualifiers
- Work in progress
- Research
- Refereed limited
Conference
Acceptance Rates
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%
Upcoming Conference
CHI 2025
- Sponsor:
- sigchi
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 928Total Downloads
- Downloads (Last 12 months)928
- Downloads (Last 6 weeks)142
Reflects downloads up to 12 Jan 2025
Other Metrics
Citations
Cited By
View all- Ma HLi N(2024)Exploring User Behavioral Intentions and Their Relationship With AI Design Tools: A Future Outlook on Intelligent DesignIEEE Access10.1109/ACCESS.2024.344108812(149192-149205)Online publication date: 2024
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderFull Text
View this article in Full Text.
Full TextHTML Format
View this article in HTML Format.
HTML Format