HIGHLIGHTS
- who: Maxim Bakaev and colleagues from the Independent UX Consultant, Novosibirsk, Russia have published the paper: Reasonable Effectiveness of Features in Modeling Visual Perception of User Interfaces, in the Journal: (JOURNAL)
- what: The authors benchmarked the predictive accuracy of the two types of neural network (NN) models and explored the effects of the number of features and the dataset volume. The authors investigated which approaches yielded better results for user behavior modeling on a training dataset that was typically-sized for HCI. The models were the dependent variables, while the derived dependent variables actually used . . .
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