helpResearch questionDecision Optimization and Reinforcement Learning Understanding
How can visual perception, intermittent motor control, and click decision processes in dynamic pointing be simulated?Human-AI Collaboration and Decision Support / Decision Optimization and Reinforcement Learning Understanding
How can visual perception, intermittent motor control, and click decision processes in dynamic pointing be simulated?
Similar questions
helpResearch questionDecision Optimization and Reinforcement Learning Understanding
How can reinforcement learning optimize users' attention switching in multitasking environments?UIST '24AITentive: A Toolkit to Develop Reinforcement Learning-based Attention Management Systems
helpResearch questionDecision Optimization and Reinforcement Learning Understanding
How does AITentive simplify the design and development of attention management systems (AMS)?UIST '24AITentive: A Toolkit to Develop Reinforcement Learning-based Attention Management Systems
helpResearch questionDecision Optimization and Reinforcement Learning Understanding
Can AITentive effectively support multi-scenario AMS development and improve multitasking performance?UIST '24AITentive: A Toolkit to Develop Reinforcement Learning-based Attention Management Systems
helpResearch questionDecision Optimization and Reinforcement Learning Understanding
How can natural language enhance video camera interaction capabilities to customize tasks based on user interests?UbiComp '24ChatCam: Embracing LLMs for Contextual Chatting-to-Camera with Interest-Oriented Video Summarization
helpResearch questionDecision Optimization and Reinforcement Learning Understanding
How can multimodal language models generate lightweight task models to meet user needs in edge computing environments?UbiComp '24ChatCam: Embracing LLMs for Contextual Chatting-to-Camera with Interest-Oriented Video Summarization
helpResearch questionDecision Optimization and Reinforcement Learning Understanding
How can deep reinforcement learning combined with vector databases optimize user interest recognition and video summarization query efficiency?UbiComp '24ChatCam: Embracing LLMs for Contextual Chatting-to-Camera with Interest-Oriented Video Summarization
Related papers
CHI 2024
Simulating Emotions With an Integrated Computational Model of Appraisal and Reinforcement Learning
Jiayi Eurus Zhang, Bernhard Hilpert, Joost Broekens
CHI 2024
Supporting Task Switching with Reinforcement Learning
Alexander Lingler, Dinara Talypova, Jussi P. P. Jokinen
CHI 2023
Amortised Experimental Design and Parameter Estimation for User Models of Pointing
Antti Keurulainen, Isak Rafael Westerlund, Oskar Keurulainen
UIST 2022
Breathing Life Into Biomechanical User Models
Aleksi Ikkala, Florian Fischer, Markus Klar
CHI 2022
Select or Suggest? Reinforcement Learning-based Method for High-Accuracy Target Selection on Touchscreens
Zhi Li, Maozheng Zhao, Dibyendu Das
CHI 2022
Rediscovering Affordance: A Reinforcement Learning Perspective
Yi-Chi Liao, Kashyap Todi, Aditya Acharya
CHI 2021
A Simulation Model of Intermittently Controlled Point-and-Click Behaviour
Seungwon Do, Minsuk Chang, Byungjoo Lee
CHI 2021
Touchscreen Typing As Optimal Supervisory Control
Jussi P. P. Jokinen, Aditya Acharya, Mohammad Uzair
CHI 2021
Optimal Action-based or User Prediction-based Haptic Guidance: Can You Do Even Better?
Hee-Seung Moon, Jiwon Seo
CHI 2021
Adapting User Interfaces with Model-based Reinforcement Learning
Kashyap Todi, Gilles Bailly, Luis Leiva