Fig. 3: Analysis of Decision adjustment with respect to AI recommendation.
From: Intricacies of human–AI interaction in dynamic decision-making for precision oncology
The first, second, and third column of figures correspond to NSCLC, NSCLC excluding evaluators with zero decision adjustment, and HCC, respectively, and all the plots are colored by evaluators and marked coded patient number. All evaluators in HCC adjusted at least one of their decisions. Scatter plots a, b, and c shows relationship between the level of decision adjustment \(({aia}-{un})\) and dissimilarity with AI recommendation \(({ai}-{un})\). Scatter plots d–f show relationship between AI Trust Level (0-5, 5 being the highest level) and agreement with AI-recommendation (\(-{|aia}-{ai}\)|). The \({aia}-{ai}=0\) line corresponds to absolute agreement with the AI-recommendation. All plots include the Spearman correlation coefficients, p-values (two-sided t test), and co-variance ellipse (95 % confidence). Covariance ellipses are included for a visual insight about the data distribution.
