Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911456143867904 |
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| author | Masti, Daniele Menchetti, Stefano Erdem, Çağrı Gnecco, Giorgio Rocchesso, Davide |
| author_facet | Masti, Daniele Menchetti, Stefano Erdem, Çağrı Gnecco, Giorgio Rocchesso, Davide |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_13528 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface Masti, Daniele Menchetti, Stefano Erdem, Çağrı Gnecco, Giorgio Rocchesso, Davide Human-Computer Interaction Systems and Control 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 |
| title | Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface |
| topic | Human-Computer Interaction Systems and Control |
| url | https://arxiv.org/abs/2507.13528 |