Wu, Yuyao - DynDash: Multiple Coordinated Dashboards for Exploratory Data Analysis...

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This thesis has been submitted to the Library for purposes of graduation, but needs to be audited for technical details related to publication in order to be approved for inclusion in the Library collection.
Term: 
Summer 2017
Degree: 
M.Sc.
Degree type: 
Thesis
Department: 
School of Interactive Arts and Technology
Faculty: 
Communication, Art & Technology
Senior supervisor: 
Wolfgang Stuerzlinger
Thesis title: 
DynDash: Multiple Coordinated Dashboards for Exploratory Data Analysis
Given Names: 
Yuyao
Surname: 
Wu
Abstract: 
Exploratory visual analysis is a good way to find novel, unforeseen insights in large amounts of data. Most existing Visual Analytics applications require the user to manually specify charts first. Such a depth-first strategy is unsuitable for novices due to lack of expertise. Voyager 2 proposed a mixed-initiative approach that blends manual specification with automatic chart recommendations. To facilitate iterative sensemaking, we extend this approach through enabling users to build multiple dashboards, each of which holds coordinated, fully interactive charts in a flexible layout. Together, this permits users to quickly get an overview of the data, while still being able to analyze details. We also present a new, non-intrusive filtering mechanism that enables creating, copying and editing of filters. We performed a qualitative study with novices and identified common usage patterns, which inform the design of future multi-dashboard Visual Analytics systems.
Keywords: 
User Interface; Qualitative Evaluation; Data Filtering; Exploratory Visual Analytics; Novice Users
Total pages: 
117