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

翻译：TickTacking是一种基于节奏的交互界面，允许用户通过双键敲击在二维空间中控制指针。本文研究了在目标跟踪任务中，将滚动时域方法应用于TickTacking界面以生成拟人化轨迹的问题。通过分析用户生成的轨迹，我们识别出关键的人类行为特征，并将其融入模拟这些行为的控制器中。该受人类启发的控制器性能通过与基于最优控制的基线智能体进行对比评估，证明了特定控制特征对于实现拟人化交互的重要性。这些发现通过提供能提升用户表现、增强直观性并降低交互挫败感的设计见解，为开发基于节奏的人机界面这一更广泛目标作出了贡献。