It’s a Long Way to Monte-Carlo: Probabilistic GPS Navigation
John Williamson, S. Strachan and Roderick Murray-Smith
In: roceedings of Mobile HCI 2006,, Sept 2006, Helsinki, Finland.
We present a mobile, GPS-based multimodal navigation system,
equipped with inertial control that allows users to explore and navigate
through an augmented physical space, incorporating and
displaying the uncertainty resulting from inaccurate sensing and
unknown user intentions. The system propagates uncertainty appropriately
via Monte Carlo sampling and predicts at a usercontrollable
time horizon. Control of the Monte Carlo exploration
is entirely tilt-based. The system output is displayed both visually
and in audio. Audio is rendered via granular synthesis to accurately
display the probability of the user reaching targets in the space.We
also demonstrate the use of uncertain prediction in a trajectory following
task, where a section of music is modulated according to the
changing predictions of user position with respect to the target trajectory.
We show that appropriate display of the full distribution of
potential future users positions with respect to sites-of-interest can
improve the quality of interaction over a simplistic interpretation of
the sensed data.