{"ID":2893679,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.13528","arxiv_id":"2507.13528","title":"Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface","abstract":"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","short_abstract":"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-gen...","url_abs":"https://arxiv.org/abs/2507.13528","url_pdf":"https://arxiv.org/pdf/2507.13528v3","authors":"[\"Daniele Masti\",\"Stefano Menchetti\",\"Çağrı Erdem\",\"Giorgio Gnecco\",\"Davide Rocchesso\"]","published":"2025-07-17T20:41:17Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"eess.SY\"]","methods":"[]","has_code":false}