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Datasets for Cognitive Load Inference Using Wearable Sensors and Psychological Traits
2020
Applied Sciences
This study introduces two datasets for multimodal research on cognitive load inference and personality traits. Different to other datasets in Affective Computing, which disregard participants' personality traits or focus only on emotions, stress, or cognitive load from one specific task, the participants in our experiments performed seven different tasks in total. In the first dataset, 23 participants played a varying difficulty (easy, medium, and hard) game on a smartphone. In the second
doi:10.3390/app10113843
fatcat:qoqnaubj5zbcfgb72zbokfne4e