DocumentCode
2635682
Title
Visual analytic roadblocks for novice investigators
Author
Kwon, Bum Chul ; Fisher, Brian ; Yi, Ji Soo
Author_Institution
Purdue Univ., West Lafayette, IN, USA
fYear
2011
fDate
23-28 Oct. 2011
Firstpage
3
Lastpage
11
Abstract
We have observed increasing interest in visual analytics tools and their applications in investigative analysis. Despite the growing interest and substantial studies regarding the topic, understanding the major roadblocks of using such tools from novice users´ perspectives is still limited. Therefore, we attempted to identify such “visual analytic roadblocks” for novice users in an investigative analysis scenario. To achieve this goal, we reviewed the existing models, theories, and frameworks that could explain the cognitive processes of human-visualization interaction in investigative analysis. Then, we conducted a qualitative experiment with six novice participants, using a slightly modified version of pair analytics, and analyzed the results through the open-coding method. As a result, we came up with four visual analytic roadblocks and explained these roadblocks using existing cognitive models and theories. We also provided design suggestions to overcome these roadblocks.
Keywords
data analysis; data visualisation; human-visualization interaction cognitive process; investigative analysis scenario; novice investigators; open-coding method; pair analytics; visual analytic roadblocks; Analytical models; Calendars; Cognition; Context; Humans; Visual analytics; Visual analytics; cognitive model; framework; investigative analysis; qualitative experiment; roadblock;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on
Conference_Location
Providence, RI
Print_ISBN
978-1-4673-0015-5
Type
conf
DOI
10.1109/VAST.2011.6102435
Filename
6102435
Link To Document