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Human-AI Collaboration and Decision Support / Decision Optimization and Reinforcement Learning Understanding

Users easily make errors when selecting targets on small touchscreen devices, reducing efficiency.

lightbulbPractical problemDecision Optimization and Reinforcement Learning Understanding

Users easily make errors when selecting targets on small touchscreen devices, reducing efficiency.

CHI '22Select or Suggest? Reinforcement Learning-based Method for High-Accuracy Target Selection on Touchscreens

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lightbulbPractical problemDecision Optimization and Reinforcement Learning Understanding

Users frequently switching attention during multitasking achieve low efficiency, reducing productivity.

UIST '24AITentive: A Toolkit to Develop Reinforcement Learning-based Attention Management Systems

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Users struggle to quickly obtain video summary content aligned with their interests using existing technologies.

UbiComp '24ChatCam: Embracing LLMs for Contextual Chatting-to-Camera with Interest-Oriented Video Summarization

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Users' dynamic emotional changes are difficult to predict in real time and explain effectively.

CHI '24Simulating Emotions With an Integrated Computational Model of Appraisal and Reinforcement Learning

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Users in high-stress multitasking situations easily reduce efficiency or make errors due to frequent task switching.

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Smart cities' demand for efficient communication networks cannot be met by ground networks alone.

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lightbulbPractical problemDecision Optimization and Reinforcement Learning Understanding

Drones are prone to instability or damage during landing due to ground effect and noise interference.

UbiComp '23SmoothLander: A Quadrotor Landing Control System with Smooth Trajectory Guarantee Based on Reinforcement Learning

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