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Enhancing multimodal affect recognition in healthcare: the robustness of appraisal dimensions over labels within age groups and in cross-age generalisation
This paper investigates multimodal affect recognition in AI-assisted Computerized Cognitive Training (CCT), comparing appraisal dimensions and categorical labels across young and older adult populations. It demonstrates that appraisal dimensions consistently outperform and generalize better than categorical labels, especially across different age groups.