Abstract
In an effort to determine what elements need to be considered when designing personal visualizations, this research study explores how users react to different personal visualization designs. The authors present three distinct personal visualization designs (Timeline, Spark, and Bouquet) for visualizing Facebook user data. In a scenario-based user study, they interview participants to evaluation each design's utility, exploring the visualization of the users' own data, comparing two personal visualizations, and analyzing a series of personal visualizations. The analysis of the recorded conversations suggests that the illustrative design was the most well-balanced with respect to relaying information, motivating data exploration, and providing personal insights to the users. The authors believe this study will help guide future developers regarding the design of personal visualizations.
| Original language | English (US) |
|---|---|
| Article number | 7160902 |
| Pages (from-to) | 82-93 |
| Number of pages | 12 |
| Journal | IEEE Computer Graphics and Applications |
| Volume | 35 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 1 2015 |
Fingerprint
Keywords
- computer graphics
- design study
- Facebook data
- personal visualization
ASJC Scopus subject areas
- Software
- Computer Graphics and Computer-Aided Design
Cite this
Design and Effects of Personal Visualizations. / Wang, Shimin; Tanahashi, Yuzuru; Leaf, Nick; Ma, Kwan-Liu.
In: IEEE Computer Graphics and Applications, Vol. 35, No. 4, 7160902, 01.07.2015, p. 82-93.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Design and Effects of Personal Visualizations
AU - Wang, Shimin
AU - Tanahashi, Yuzuru
AU - Leaf, Nick
AU - Ma, Kwan-Liu
PY - 2015/7/1
Y1 - 2015/7/1
N2 - In an effort to determine what elements need to be considered when designing personal visualizations, this research study explores how users react to different personal visualization designs. The authors present three distinct personal visualization designs (Timeline, Spark, and Bouquet) for visualizing Facebook user data. In a scenario-based user study, they interview participants to evaluation each design's utility, exploring the visualization of the users' own data, comparing two personal visualizations, and analyzing a series of personal visualizations. The analysis of the recorded conversations suggests that the illustrative design was the most well-balanced with respect to relaying information, motivating data exploration, and providing personal insights to the users. The authors believe this study will help guide future developers regarding the design of personal visualizations.
AB - In an effort to determine what elements need to be considered when designing personal visualizations, this research study explores how users react to different personal visualization designs. The authors present three distinct personal visualization designs (Timeline, Spark, and Bouquet) for visualizing Facebook user data. In a scenario-based user study, they interview participants to evaluation each design's utility, exploring the visualization of the users' own data, comparing two personal visualizations, and analyzing a series of personal visualizations. The analysis of the recorded conversations suggests that the illustrative design was the most well-balanced with respect to relaying information, motivating data exploration, and providing personal insights to the users. The authors believe this study will help guide future developers regarding the design of personal visualizations.
KW - computer graphics
KW - design study
KW - Facebook data
KW - personal visualization
UR - http://www.scopus.com/inward/record.url?scp=84937785255&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937785255&partnerID=8YFLogxK
U2 - 10.1109/MCG.2015.74
DO - 10.1109/MCG.2015.74
M3 - Article
AN - SCOPUS:84937785255
VL - 35
SP - 82
EP - 93
JO - IEEE Computer Graphics and Applications
JF - IEEE Computer Graphics and Applications
SN - 0272-1716
IS - 4
M1 - 7160902
ER -