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

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Strachan, Steven, Williamson, John and Murray-Smith, Roderick (2007) Show me the way to Monte Carlo: density based trajectory navigation. In: Proceedings of the SIGCHI conference on Human factors in computing systems, April 28-May 3, 2007, San Jose, California, USA.

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Official URL: http://delivery.acm.org/10.1145/1250000/1240812/p1...

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.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	GPS; Navigation; Uncertainty; Monte Carlo; Feedback; Audio Tracking; Probabilistic Display; Human computer interaction; CHI '07; Hamilton Institute.
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	1705
Depositing User:	Hamilton Editor
Date Deposited:	01 Dec 2009 17:06
Refereed:	Yes
Related URLs:	Publisher
URI:	https://mu.eprints-hosting.org/id/eprint/1705
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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

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