Show me the way to Monte Carlo: density-based trajectory navigation

We demonstrate the use of uncertain prediction in a system for pedestrian navigation via audio with a combination of Global Positioning System data, a music player, inertial sensing, magnetic bearing data and Monte Carlo sampling for a density following task, where a listener's music is modulated according to the changing predictions of user position with respect to a target density, in this case a trajectory or path. We show that this system enables eyes-free navigation around set trajectories or paths unfamiliar to the user and demonstrate that the system may be used effectively for varying trajectory width and context. Author Keywords GPS, Navigation, Uncertainty, Monte Carlo, Feedback, Audio, Tracking, Probabilistic Display. ACM Classification Keywords H5.m. Information interfaces and presentation (e.g., HCI): Miscellaneous

• Type: Conference
• Year: 2007
• Where: CHI
• Authors: Steven Strachan, John Williamson, Roderick Murray-Smith
• Keywords: ACM Classification Keywords, CHI 2007, Human Computer Interaction, Monte Carlo, Trajectory Width