Hee-Seung Moon

schoolYonsei Universitybar_chart#3935 Global Rank

Total Papers

HCI Rank

#3935

Research Areas

Years Active

Recent Publications

Amortized Inference with User Simulations

There have been significant advances in simulation models predicting human behavior across various interactive tasks. One issue remains, however: identifying the parameter values that best describe an individual user. These parameters often express personal cognitive and physiological characteristics, and inferring th…

CHI '221st AuthorHuman-LLM Collaboration

Speeding up Inference with User Simulators through Policy Modulation

The simulation of user behavior with deep reinforcement learning agents has shown some recent success. However, the inverse problem, that is, inferring the free parameters of the simulator from observed user behaviors, remains challenging to solve. This is because the optimization of the new action policy of the simul…

CHI '211st AuthorForce Feedback & Pseudo-Haptic Weight +2

Optimal Action-based or User Prediction-based Haptic Guidance: Can You Do Even Better?

The recently advanced robotics technology enables robots to assist users in their daily lives. Haptic guidance (HG) improves users' task performance through physical interaction between robots and users. It can be classified into optimal action-based HG (OAHG), which assists users with an optimal action, and user pred…

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