2021 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)

Workshop suggested topics are as followed:

Trust considerations based on different areas of domain expertise (e.g., medical, security, scientific, financial domains).
Trust and bias considerations based on different levels of user familiarity with machine learning and visual analytics systems.
Detecting and preventing cognitive biases in visual analytics and machine learning for users.
User trust in machine learning models and visual explanations of model decisions in visual analytics systems.
The correlation between trust, domain knowledge, and potential cognitive biases.
The relationship between domain expertise and trust with model transparency, human interpretability.
The relationship between model interpretability, domain expertise, and trust.
Human-centered considerations in Human-in-the-loop visualization tools and interpretable models.