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

Strachan, S., Williamson, J. and Murray-Smith, R. (2007) Show me the way to Monte Carlo: density-based trajectory navigation. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, San Jose, California, USA, 28 April-3 May 2007, pp. 1245-1248. ISBN 9781595935939 (doi: 10.1145/1240624.1240812)

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 Proceedings
• Additional Information: © ACM, 2007. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in, Proceedings of the SIGCHI conference on Human factors in computing systems (2007) http://doi.acm.org/10.1145/1240624.1240812
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Murray-Smith, Professor Roderick and Williamson, Dr John
• Authors: Strachan, S., Williamson, J., and Murray-Smith, R.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: ACM Press
• ISBN: 9781595935939
• Copyright Holders: Copyright © 2007 ACM Press
• First Published: First published in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher including additional information statement.