J. Edward Swan II

An Empirical User-Based Study of Text Drawing Styles and Outdoor Background Textures for Augmented Reality

Joseph L. Gabbard, J. Edward Swan II, Deborah Hix, Robert S. Schulman, John Lucas, and Divya Gupta. An Empirical User-Based Study of Text Drawing Styles and Outdoor Background Textures for Augmented Reality. In Technical Papers, Proceedings of IEEE Virtual Reality 2005, pp. 11–18, IEEE Computer Society, March 2005.

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Abstract

A challenge in presenting augmenting information in outdoor augmented reality (AR) settings lies in the broad range of uncontrollable environmental conditions that may be present, specifically large-scale fluctuations in natural lighting and wide variations in likely backgrounds or objects in the scene. In this paper, we present a user-based study which examined the effects of outdoor background textures, changing outdoor illuminance values, and text drawing styles on user performance of a text identification task with an optical, see-through augmented reality system. We report significant effects for all of these variables, and discuss design guidelines and ideas for future work.

Additional Information

Acceptance rate: 26% (29 out of 111)

BibTeX

@InProceedings{IEEEVR05-tds, 
  author =      {Joseph L. Gabbard and J. Edward {Swan~II} and Deborah Hix and 
                 Robert S. Schulman and John Lucas and Divya Gupta}, 
  title =       {An Empirical User-Based Study of Text Drawing Styles and 
                 Outdoor Background Textures for Augmented Reality}, 
  booktitle =   {Technical Papers, Proceedings of IEEE Virtual Reality 2005}, 
  year =        2005, 
  location =    {Bonn, Germany}, 
  date =        {March 12--16}, 
  month =       {March}, 
  publisher =   {IEEE Computer Society}, 
  pages =       {11--18}, 
  abstract =    { 
A challenge in presenting augmenting information in outdoor augmented reality 
(AR) settings lies in the broad range of uncontrollable environmental conditions 
that may be present, specifically large-scale fluctuations in natural lighting 
and wide variations in likely backgrounds or objects in the scene.  In this 
paper, we present a user-based study which examined the effects of outdoor 
background textures, changing outdoor illuminance values, and text drawing 
styles on user performance of a text identification task with an optical, 
see-through augmented reality system.  We report significant effects for all of 
these variables, and discuss design guidelines and ideas for future work. 
}, 
}