469 citations
- Leipzig UniversityDE50 papers
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- German Research Centre for Artificial IntelligenceDE16 papers
- Max Planck Institute for Mathematics in the SciencesDE9 papers
- Friedrich Schiller University JenaDE8 papers
- Leipzig University of Applied SciencesDE7 papers
- Bauhaus-Universität WeimarDE6 papers
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- Ludwig-Maximilians-Universität MünchenDE5 papers
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8 papers · 2 filters
Actionable Cybersecurity Notifications for Smart Homes: A User Study on the Role of Length and Complexity
Victor Jüttner, Charlotte S. Löffler, Erik Buchmann
The proliferation of smart home devices has increased convenience but also introduced cybersecurity risks for everyday users, as many devices lack robust security features. Intrusi…
Quo-Vadis Multi-Agent Automotive Research? Insights from a Participatory Workshop and Questionnaire
Pavlo Bazilinskyy, Francesco Walker, Debargha Dey +5
The transition to mixed-traffic environments that involve automated vehicles, manually operated vehicles, and vulnerable road users presents new challenges for human-centered autom…
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…
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…
Increasing Interaction Fidelity: Training Routines for Biomechanical Models in HCI
Michał Patryk Miazga, Patrick Ebel
Biomechanical forward simulation holds great potential for HCI, enabling the generation of human-like movements in interactive tasks. However, training biomechanical models with re…
What Makes a Model Breathe? Understanding Reinforcement Learning Reward Function Design in Biomechanical User Simulation
Hannah Selder, Florian Fischer, Per Ola Kristensson +1
Biomechanical models allow for diverse simulations of user movements in interaction. Their performance depends critically on the careful design of reward functions, yet the interpl…