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

Authors:
Steven Strachan;John Williamson;Roderick Murray-Smith
Affiliations:
Hamilton Institute, Maynooth, Ireland;University of Glasgow, Glasgow, Scotland, UK;Hamilton Institute, Maynooth, Ireland and University of Glasgow, Glasgow, Scotland UK
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2007

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Abstract

We demonstrate the use of uncertain prediction in asystem for pedestrian navigation via audio with a combination ofGlobal Positioning System data, a music player, inertial sensing,magnetic bearing data and Monte Carlo sampling for a densityfollowing task, where a listener's music is modulated according tothe changing predictions of user position with respect to a targetdensity, 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.