helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection
How can multimodal data predict drivers' takeover intention, takeover time, and takeover quality?General AI Systems and Interaction Design / Model Steering, Latent Space Editing, and Knowledge Injection
How can multimodal data predict drivers' takeover intention, takeover time, and takeover quality?
Similar questions
helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection
Which visual elements in mobile app design may trigger user seizures?helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection
What potential seizure-triggering scenarios do user reviews reflect?helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection
Do existing design guidelines comprehensively cover epilepsy risk factors?helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection
How can slider tools in text-to-image generation models be optimized to improve users' interaction experience?helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection
How can slider ranges be dynamically adjusted to avoid generating images beyond normal boundaries?helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection
How can latent space entanglement of image semantic attributes be mitigated to improve multi-attribute editing?Related papers
CHI 2025
MoWa: An Authoring Tool for Refining AI-Generated Human Avatar Motions Through Latent Waveform Manipulation
Jeongseok Oh, SeungJun Kim
CHI 2025
AdaptiveSliders: User-aligned Semantic Slider-based Editing of Text-to-Image Model Output
Rahul Jain, Amit Goel, Koichiro Niinuma
IUI 2024
SpaceEditing: A Latent Space Editing Interface for Integrating Human Knowledge into Deep Neural Networks
Jiafu Wei, Ding Xia, Haoran Xie
IUI 2024
Sample, Nudge and Rank: Exploiting Interpretable GAN Controls for Exploratory Search
Yang Liu, Alan Medlar, Dorota Głowacka
UbiComp 2023
Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications
Yanfei Wang, Zhiwen Yu, Sicong Liu
CHI 2023
How Can Deep Neural Networks Aid Visualization Perception Research?: Three Studies on Correlation Judgments in Scatterplots
Fumeng Yang, Yuxin Ma, Lane Harrison
IUI 2021
Continuous and Gradual Style Changes of Graphic Designs with Generative Model
Michihiko Ueno, Shin'ichi Satoh
CHI 2021
DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data
Erfan Pakdamanian, Shili Sheng, Sonia Baee