Abstract
Advancements in artificial intelligence (AI) technologies have led to a rapid increase in the use of AI- enabled tools to curate content across various application contexts (e.g., news, social media, search engines, product reviews). This content can include multiple data sources and formats. Some commercially available AI-enabled content curation integrations seem useful, while others are underdeveloped, or not considered in terms of utility, contextual relevance, or user experience. We present an annotated portfolio of nine discrete interface design patterns, exploring how an AI-in-the- loop approach can be used to present con textually relevant, AI curated content — across varying degrees of AI involvement. To illustrate these patterns, we use a case study of online news content, to reflexively examine how different content types and use cases are suited to the different interface design patterns. We view this work as a provocation for advancing the discourse on AI-enabled content curation applications.
Keywords
Design Patterns; Artificial Intelligence; User Interface Design
DOI
https://doi.org/10.21606/iasdr.2025.624
Citation
Khan, A.H., Wijenayake, S., Al Lawati, S.F., Spina, D.,and Hettiachchi, D.(2025) Design Patterns for AI Curated Content, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.624
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 4 - Human-Centered AI
Design Patterns for AI Curated Content
Advancements in artificial intelligence (AI) technologies have led to a rapid increase in the use of AI- enabled tools to curate content across various application contexts (e.g., news, social media, search engines, product reviews). This content can include multiple data sources and formats. Some commercially available AI-enabled content curation integrations seem useful, while others are underdeveloped, or not considered in terms of utility, contextual relevance, or user experience. We present an annotated portfolio of nine discrete interface design patterns, exploring how an AI-in-the- loop approach can be used to present con textually relevant, AI curated content — across varying degrees of AI involvement. To illustrate these patterns, we use a case study of online news content, to reflexively examine how different content types and use cases are suited to the different interface design patterns. We view this work as a provocation for advancing the discourse on AI-enabled content curation applications.