Salomon Eisler

Anomaly Detection in Interactive Visualizations of Multivariate Time Series Data: Modelling Human Accuracy and Confidence

Human-in-the-loop anomaly detection in visualized data, where analysts visually inspect multivariate time series to spot changes in inter-variable relationships such as shifts in correlations or model fit, remains vital when domain expertise must complement automated analysis. Yet, the perceptual and cognitive mechani…