helpResearch questionGenAI Personalized Content Generation
How can MLLMs provide transparent reasoning support in sensor rule generation and error debugging?Recommendation, Personalization, and Exploration / GenAI Personalized Content Generation
How can MLLMs provide transparent reasoning support in sensor rule generation and error debugging?
Similar questions
helpResearch questionGenAI Personalized Content Generation
How can multimodal LLMs (MLLMs) improve flexibility and customizability of intelligent camera sensors?helpResearch questionGenAI Personalized Content Generation
How can users intuitively define, test, and debug personalized visual sensors?helpResearch questionGenAI Personalized Content Generation
How can ordinary users quickly generate ideas and produce high-quality promotional posts with one tool?helpResearch questionGenAI Personalized Content Generation
How can a context-aware recommendation module dynamically generate design content aligned with brand or product information?helpResearch questionGenAI Personalized Content Generation
How can an integrated workflow combining inspiration generation and promotional-post creation improve design efficiency and satisfaction?helpResearch questionGenAI Personalized Content Generation
How do current code generation tools affect users' exploratory programming in interface design?Related papers
IUI 2025
Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning
Michael Xieyang Liu, Savvas Dimitrios Petridis, Vivian Tsai
CHI 2025
Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customization
Xuye Liu, Annie Sun, Pengcheng An
CHI 2025
I-Card: A Generative AI-Supported Intelligent Design Method Card Deck
Liuqing Chen, Wengteng Cheang, Zhaojun Jiang
CHI 2025
Support Autonomy: Exploring Player Perspectives on AI-Supported Onboarding in Video Games
Lydia Choong, Sebastian Cmentowski, Eugene Kukshinov
CHI 2024
CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AI
DaEun Choi, Sumin Hong, Jeongeon Park
CHI 2024
Socio-technical Imaginaries: Envisioning and Understanding AI Parenting Supports through Design Fiction
Melina Petsolari, Seray B Ibrahim, Petr Slovak
UIST 2023
The View from MARS: Empowering Game Stream Viewers with Metadata Augmented Real-time Streaming
Noor Hammad, Erik Harpstead, Jessica Hammer