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. Author manuscript; available in PMC: 2022 Apr 1.
Published in final edited form as: IEEE Trans Affect Comput. 2019 Mar 15;12(2):306–317. doi: 10.1109/taffc.2019.2905211

Fig. 1.

Fig. 1.

Summary of previous work using probabilistic graphical approaches to model lay human reasoning about emotions. Figures are adapted from (a) [29], (b) [57], (c) [39]. Shaded nodes represent observable variables, while unshaded nodes represent latent variables. Variables that were “implicitly” modelled (i.e., not directly specified) are rendered using translucent nodes. In (d), adapted from [10] and [26], we illustrate the more general model that encompasses the models in (a-c).