Optimal Feedback Control for Modeling Human–Computer Interaction

Optimal feedback control (OFC) is a theory from the motor literature that explains how humans move their body to achieve certain goal, e.g., pointing with finger. OFC based on assumption aim optimally, within constraints imposed by body, environment, and task. In this paper, we explain can be applied understanding Human-Computer Interaction (HCI) in case of pointing. We propose human computer dynamics interpreted as single dynamical system. The system state controlled user via muscle signals, estimated observations. Between-trial variability arises signal-dependent noise observation noise. compare four different models optimal evaluate what degree these replicate movements mouse introduce procedure identify parameters best observed behavior. To support HCI researchers simulating, analyzing, optimizing interaction movements, provide Python toolbox OFC4HCI. conclude presents powerful framework for understand simulate motion interface moment basis.