Defining Biases in Visual Data Analysis
Abstract
This chapter describes a multitude of biases that may occur throughout the visual data analysis process, informed by process models in machine learning, cognitive psychology, and visualization literature described in Chap. 2. We first provide an overview of potential sources of bias in visual data analysis, then zoom in to more specifically describe human biases from the perspective of cognitive and metacognitive deficits.
Fields of Study & Subjects
Data Visualization and Analytics
Explainable Artificial Intelligence (XAI)
Human-Automation Interaction and Safety
Publication details
- Journal / source
- Synthesis lectures on visualization
- Pages
- 15–31
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Book chapter