PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Bearing-based selection in mobile spatial interaction
steven Strachan and Roderick Murray-Smith
Personal and Ubiquitous Computing Volume 13, Number 4, 2008.

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.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Multimodal Integration
Haptics
ID Code:5191
Deposited By:Roderick Murray-Smith
Deposited On:24 March 2009