Back to articles
Proceedings Paper
Volume: 38 | Article ID: IQSP-249
Image
Preferred Skin Color Rendition for Self-representative Faces and Avatars in Augmented Reality
  DOI :  10.2352/EI.2026.38.8.IQSP-249  Published OnlineMarch 2026
Abstract
Abstract

Optical see-through augmented reality (OST-AR) is a technology that allows humans to superimpose graphical elements over the natural environment through a transparent medium. When graphical elements are dark or ambient light is bright, color blending can cause graphical elements to appear transparent. In particular, graphical human faces that have darker skin tones appear more transparent than those with lighter skin tones, introducing both perceptual and social challenges. In this work, a psychophysical experiment assesses observers’ preferred renderings of skin tones in OST-AR. Observers were asked to adjust the lightness of faces superimposed by OST-AR glasses under a bright ambient lighting condition. The stimuli comprised photos of real faces, their corresponding digital avatars, and included those representing the observer and zero-acquaintance targets. We found that observers tended to increase lightness more as faces became darker for both real faces and avatars, but that this pattern was not evident when adjusting photos of their own faces. These results indicate that color preferences for facial color in OST-AR may operate differently depending on familiarity with the target being evaluated, indicating a need for further research involving self-representative stimuli.

Subject Areas :
Views 1
Downloads 0
 articleview.views 1
 articleview.downloads 0
  Cite this article 

Dara Dimoff, Susan Farnand, Christopher Thorstenson, "Preferred Skin Color Rendition for Self-representative Faces and Avatars in Augmented Realityin Electronic Imaging,  2026,  pp 249-1 - 249-7,  https://doi.org/10.2352/EI.2026.38.8.IQSP-249

 Copy citation
  Copyright statement 
Copyright ©2026 Society for Imaging Science and Technology 2026
ei
Electronic Imaging
2470-1173
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA