Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface

TickTacking is a rhythm-based interface that allows users to control a pointer in a two-dimensional space through dual-button tapping. This paper investigates the generation of human-like trajectories using a receding horizon approach applied to the TickTacking interface in a target-tracking task. By analyzing user-generated trajectories, we identify key human behavioral features and incorporate them in a controller that mimics these behaviors. The performance of this human-inspired controller is evaluated against a baseline optimal-control-based agent, demonstrating the importance of specific control features for achieving human-like interaction. These findings contribute to the broader goal of developing rhythm-based human-machine interfaces by offering design insights that enhance user performance, improve intuitiveness, and reduce interaction frustration

💡 Research Summary

The paper addresses the problem of generating human‑like motion trajectories for the TickTacking interface, a rhythm‑based human‑computer interaction (HCI) system in which a user controls a two‑dimensional pointer by tapping two buttons with distinct rhythmic patterns. The authors first revisit the data collected in a prior study (reference