most citedDemystifying Reward Design in Reinforcement Learning for Upper Extremity Interaction: Practical Guidelines for Biomechanical Simulations in HCI

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.HC2025★ 2 cited

Demystifying Reward Design in Reinforcement Learning for Upper Extremity Interaction: Practical Guidelines for Biomechanical Simulations in HCI

Hannah Selder, Florian Fischer, Per Ola Kristensson +1

Designing effective reward functions is critical for reinforcement learning-based biomechanical simulations, yet HCI researchers and practitioners often waste (computation) time wi…

cs.HC2025

Mind & Motion: Opportunities and Applications of Integrating Biomechanics and Cognitive Models in HCI

Arthur Fleig, Florian Fischer, Markus Klar +5

Computational models of how users perceive and act within a virtual or physical environment offer enormous potential for the understanding and design of user interactions. Cognitio…