We introduce a mobile spatial interactive application that uses a combination of a GPS, inertial sensing, gestural interaction, probabilistic models and Monte Carlo sampling, with vibration and audio feedback. This system allows the probing or querying of targets in a local area, based on a model of the local environment and specific context variables of interest, to enable a rich, embodied and location-aware spatial interaction. An experiment was conducted to investigate how spatial target selection at different distances, target separations and target widths is affected by a system with added typical noise characteristics. Results showed that the successful selection of targets in the virtual environment is maximised with a combination of high angular separation and angular width.
%0 Journal Article
%1 StrachanMurraySmith09puc
%A Strachan, Steven
%A Murray-Smith, Roderick
%D 2009
%J Personal and Ubiquitous Computing
%K v1205 springer paper embedded ai adaptive interface mobile user location spatial information device
%N 4
%P 265-280
%R 10.1007/s00779-008-0205-4
%T Bearing-Based Selection in Mobile Spatial Interaction
%V 13
%X We introduce a mobile spatial interactive application that uses a combination of a GPS, inertial sensing, gestural interaction, probabilistic models and Monte Carlo sampling, with vibration and audio feedback. This system allows the probing or querying of targets in a local area, based on a model of the local environment and specific context variables of interest, to enable a rich, embodied and location-aware spatial interaction. An experiment was conducted to investigate how spatial target selection at different distances, target separations and target widths is affected by a system with added typical noise characteristics. Results showed that the successful selection of targets in the virtual environment is maximised with a combination of high angular separation and angular width.
@article{StrachanMurraySmith09puc,
abstract = {We introduce a mobile spatial interactive application that uses a combination of a GPS, inertial sensing, gestural interaction, probabilistic models and Monte Carlo sampling, with vibration and audio feedback. This system allows the probing or querying of targets in a local area, based on a model of the local environment and specific context variables of interest, to enable a rich, embodied and location-aware spatial interaction. An experiment was conducted to investigate how spatial target selection at different distances, target separations and target widths is affected by a system with added typical noise characteristics. Results showed that the successful selection of targets in the virtual environment is maximised with a combination of high angular separation and angular width.},
added-at = {2012-05-30T10:54:43.000+0200},
author = {Strachan, Steven and Murray-Smith, Roderick},
biburl = {https://www.bibsonomy.org/bibtex/2a77f57098d9be60574551bdcdca9f381/flint63},
doi = {10.1007/s00779-008-0205-4},
file = {SpringerLink:2009/StrachanMurraySmith09puc.pdf:PDF},
groups = {public},
interhash = {fa3b08a6025d9bc316cb0148c32beb7b},
intrahash = {a77f57098d9be60574551bdcdca9f381},
issn = {1617-4909},
journal = {Personal and Ubiquitous Computing},
keywords = {v1205 springer paper embedded ai adaptive interface mobile user location spatial information device},
number = 4,
pages = {265-280},
timestamp = {2018-04-16T11:56:02.000+0200},
title = {Bearing-Based Selection in Mobile Spatial Interaction},
username = {flint63},
volume = 13,
year = 2009
}