Data Sets

Your Eyes Tell: Leveraging Smooth Pursuit for Assessing Cognitive Workload

A common objective for context-aware computing systems is to predict how user interfaces impact user performance regarding their cognitive capabilities. Existing approaches such as questionnaires or pupil dilation measurements either only allow for subjective assessments or are susceptible to environmental influences and user physiology. We address these challenges by exploiting the fact that cognitive workload influences smooth pursuit eye movements. We compared three trajectories and two speeds under different levels of cognitive workload within a user study (N=20). We found higher deviations of gaze points during smooth pursuit eye movements for specific trajectory types at higher cognitive workload levels. Using an SVM classifier, we predict cognitive workload through smooth pursuit with an accuracy of 99.5% for distinguishing between low and high workload as well as an accuracy of 88.1% for estimating workload between three levels of difficulty. We discuss implications and present use cases of how cognition-aware systems benefit from inferring cognitive workload in real-time by smooth pursuit eye movements.

Download the full data set here. Please cite the appropriate paper when using the data set in a scientific publication. The data is only available for non-commercial use.

The Brain Matters: A 3D Real-Time Visualization to Examine Brain Source Activation leveraging Neurofeedback

As Brain-Computer Interfaces become available to the consumer market, this provides more opportunities in analyzing brain activity in response to different external stimuli. Current output modalities often generate a lot data, such as an electroencephalogram which only displays electrode measurements. We introduce a three-dimensional real-time brain data visualization based on the measured values received by a brain-computer interface. Instead of visualizing the collected voltages by electrodes, we calculate a current density distribution to estimate the origin of electrical source which is responsible for perceived values at electrodes. Understanding where the centers of activation in the brain are allows to better understand the relationship between external stimuli and brain activity. This could be relevant in the context of information presentation for doctors to analyze pathological phenomena. A pilot study was conducted using Virtual Reality as input stimulus. Results indicate visible changes in real-time regarding brain activation.

Download the full data set here. Please cite the appropriate paper when using the data set in a scientific publication. The data is only available for non-commercial use.

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