The applications of generative AI are diverse and impressive, and the interplay between users and AI in shaping these applications’ impact is crucial. Current human-AI interaction literature has taken a broad look at how humans interact with generative AI, but it merits a deeper look into the user interface designs and patterns used to create these applications. Therefore, we present a survey that comprehensively presents taxonomies of how a human interacts with AI and the user interaction patterns designed to meet the needs of a variety of relevant use cases. We focus on explicit, user-initiated interactions and implicit, system-driven engagements, addressing how these approaches tackle critical issues, such as how generative AI applications can best be designed to meet user agency and control needs. With this survey, we aim to create a compendium of different user-interaction patterns that can be used as a reference for designers and developers alike. In doing so, we also strive to lower the entry barrier for those attempting to learn more about the design of generative AI applications.
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27 November 2025
Research Article|
November 27 2025
Survey on user interface design and interactions for generative AI applications
Reuben Luera;
University of California
, Berkeley, USA
Corresponding author Reuben Luera rluera@berkeley.edu
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Ryan Rossi;
Ryan Rossi
Adobe Research
, San Francisco, California, USA
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Alexa Siu;
Alexa Siu
Adobe Research
, San Francisco, California, USA
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Franck Dernoncourt;
Franck Dernoncourt
Adobe Research
, San Francisco, California, USA
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Tong Yu;
Tong Yu
Adobe Research
, San Francisco, California, USA
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Sungchul Kim;
Sungchul Kim
Adobe Research
, San Francisco, California, USA
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Ruiyi Zhang;
Ruiyi Zhang
Adobe Research
, San Francisco, California, USA
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Xiang Chen;
Xiang Chen
Adobe Research
, San Francisco, California, USA
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Hanieh Salehy;
Hanieh Salehy
Adobe Research
, San Francisco, California, USA
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Nedim Lipka;
Nedim Lipka
Adobe Research
, San Francisco, California, USA
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Samyadeep Basu;
Samyadeep Basu
University of Maryland
, College Park, Maryland, USA
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Puneet Mathur;
Puneet Mathur
Adobe Research
, San Francisco, California, USA
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Jian Zhao
Jian Zhao
University of Waterloo
, Canada
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Corresponding author Reuben Luera rluera@berkeley.edu
Online ISSN: 1551-3963
Print ISSN: 1551-3955
© 2025 Reuben Luera, Ryan Rossi, Alexa Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Nedim Lipka, Samyadeep Basu, Puneet Mathur and Jian Zhao
2025
Reuben Luera, Ryan Rossi, Alexa Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Nedim Lipka, Samyadeep Basu, Puneet Mathur and Jian Zhao
Licensed re-use rights only
Foundations and Trends in Human-Computer Interaction (2025) 19 (3): 213–279.
Citation
Luera R, Rossi R, Siu A, Dernoncourt F, Yu T, Kim S, Zhang R, Chen X, Salehy H, Lipka N, Basu S, Mathur P, Zhao J (2025), "Survey on user interface design and interactions for generative AI applications". Foundations and Trends in Human-Computer Interaction, Vol. 19 No. 3 pp. 213–279, doi: https://doi.org/10.1561/1100000106
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