Paper Info
Title
Bearing-based selection in mobile spatial interaction
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.
Year
DOI
Venue
2009
10.1007/s00779-008-0205-4
Personal and Ubiquitous Computing
Keywords
Field
DocType
target width,spatial target selection,gps navigation uncertainty monte carlo feedback audio tracking probabilistic display context selection,bearing-based selection,local environment,local area,angular width,mobile spatial interactive application,aware spatial interaction,gestural interaction,target separation,mobile spatial interaction,high angular separation,virtual environment,monte carlo sampling,tracking,uncertainty,feedback,probabilistic model,monte carlo,selection
Inertial frame of reference,Computer vision,Monte Carlo method,Virtual machine,Computer science,Audio feedback,Angular distance,Artificial intelligence,Vibration,Probabilistic logic,Assisted GPS
Journal
Volume
Issue
ISSN
13
4
1617-4917
Citations 
PageRank 
References 
30
1.32
28
Authors
2
Name
Order
Citations
PageRank
Steven Strachan119418.10
Roderick Murray-smith21396133.95