DoViz: Intervention-centric interactive visualization for causal inference
Chandratre, Atharv Shripad
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https://hdl.handle.net/2142/124696
Description
Title
DoViz: Intervention-centric interactive visualization for causal inference
Author(s)
Chandratre, Atharv Shripad
Issue Date
2024-04-29
Director of Research (if dissertation) or Advisor (if thesis)
Sundaram, Hari
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Causal Inference
Interactive Visualization
Data Visualization Tools
Intervention Analysis
Comparative Scenario Analysis
User Interface Design
Human-Computer Interaction
Causal Reasoning
Visualization Software
Abstract
Causal inference is the process of understanding and quantifying cause-and-effect relationships from observed data. The process of causal inference often requires analysts to use visualizations for evaluating accuracy. However, existing visualization tools often lack the ability to communicate the effect of performing interventions on the data and comparatively visualizing their results. In this thesis, we address this gap using DoViz, an intervention-centric interactive visualization prototype.
DoViz enables users to interact with independent variables, simulate explicit interventions, condition on confounders, and visualize the resultant causal effects. The user interface comprises an Intervention Panel for performing intuitive manipulations and an Inference Panel for visualizing intervention outcomes.
A key feature of DoViz is its ability to perform comparative causal scenario analysis. Users can juxtapose multiple scenarios side-by-side, helping them draw more informed conclusions. The design process was driven by an iterative needfinding study, distilling a user-centric workflow around intervention, analysis, and comparison.
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