53 citations · 95 across the 8 of their papers we have counts for
9 papers
Active Inference for Interaction-Mediated Control of a High-Dimensional Robotic Arm
Fraser C. Paterson, Sebastian Stein, Markus Klar +2
We propose interaction-mediated control via Active Inference as a general architectural approach to high-dimensional control problems in Human--Computer Interaction (HCI). This arc…
An Active Inference Model of Mouse Point-and-Click Behaviour
Markus Klar, Sebastian Stein, Fraser Paterson +2
We explore the use of Active Inference (AIF) as a computational user model for spatial pointing, a key problem in Human-Computer Interaction (HCI). We present an AIF agent with con…
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…
SIM2VR: Towards Automated Biomechanical Testing in VR
Florian Fischer, Aleksi Ikkala, Markus Klar +6
Automated biomechanical testing has great potential for the development of VR applications, as initial insights into user behaviour can be gained in silico early in the design proc…
Towards a Deep(er) Understanding of Interaction through Modeling, Simulation, and Optimization
Florian Fischer, Arthur Fleig, Markus Klar +2
The traditional user-centered design process can hardly keep up with the ever faster technical development and increasingly diverse user preferences. As a solution, we propose to a…
Simulating Interaction Movements via Model Predictive Control
Markus Klar, Florian Fischer, Arthur Fleig +2
We present a method to simulate movement in interaction with computers, using Model Predictive Control (MPC). The method starts from understanding interaction from an Optimal Feedb…
Optimal Feedback Control for Modeling Human-Computer Interaction
Florian Fischer, Arthur Fleig, Markus Klar +1
Optimal feedback control (OFC) is a theory from the motor control literature that explains how humans move their body to achieve a certain goal, e.g., pointing with the finger. OFC…
Reinforcement Learning Control of a Biomechanical Model of the Upper Extremity
Florian Fischer, Miroslav Bachinski, Markus Klar +2
Among the infinite number of possible movements that can be produced, humans are commonly assumed to choose those that optimize criteria such as minimizing movement time, subject t…
An Optimal Control Model of Mouse Pointing Using the LQR
Florian Fischer, Arthur Fleig, Markus Klar +2
In this paper we explore the Linear-Quadratic Regulator (LQR) to model movement of the mouse pointer. We propose a model in which users are assumed to behave optimally with respect…