Validation of SplitVector encoding and stereoscopy for quantitative visualization of quantum physics data in virtual environments

Author

Jian Chen ; Griffin, Wesley ; Henan Zhao ; Terrill, Judith E. ; Bryant, Garnett W.

Author_Institution

Univ. of Maryland, Baltimore, MD, USA

fYear

2015

fDate

23-27 March 2015

Firstpage

165

Lastpage

166

Abstract

We designed and evaluated SplitVector, a new vector field display approach to help scientists perform new discrimination tasks on scientific data shown in virtual environments (VEs). Our empirical study compared the SplitVector approach with three other approaches of direct linear representation, log, and text display common in information-rich VEs or IRVEs. Our results suggest the following: (1) SplitVectors improve the accuracy by about 10 times compared to the linear mapping and by 4 times to log in discrimination tasks; (2) SplitVectors lead to no significant differences from the IRVE text display approach, yet reduce the clutter; and (3) SplitVector improved task performance in both mono and stereoscopy conditions.

Keywords

clutter; physics computing; quantum computing; virtual reality; IRVE text display approach; SplitVector encoding validation; VE; accuracy improvement; clutter reduction; direct linear representation; discrimination tasks; information-rich VE; logs; monoscopic conditions; quantitative visualization; quantum physics data; scientific data; stereoscopy; stereoscopy conditions; task performance improvement; vector field display approach; virtual environments; Accuracy; Clutter; Data visualization; Encoding; Physics; Standards; Virtual environments;

fLanguage

English

Publisher

ieee

Conference_Titel

Virtual Reality (VR), 2015 IEEE

Conference_Location

Arles

Type

conf

DOI

10.1109/VR.2015.7223347

Filename

7223347