<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>8654</REFNUM><AUTHORS><AUTHOR>Strachan,S.</AUTHOR><AUTHOR>Williamson,J.</AUTHOR><AUTHOR>Murray-Smith,R.</AUTHOR></AUTHORS><YEAR>2007</YEAR><TITLE>Show me the way to Monte Carlo: density-based trajectory navigation</TITLE><PLACE_PUBLISHED>Proceedings of the SIGCHI conference on Human factors in computing systems, http://doi.acm.org/10.1145/1240624.1240812</PLACE_PUBLISHED><PUBLISHER>ACM Press</PUBLISHER><PAGES>1245 - 1248</PAGES><ISBN>978-1-59593-593-9</ISBN><LABEL>Strachan:2007:8654</LABEL><ABSTRACT>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.</ABSTRACT></RECORD></RECORDS></XML>