Lecture on Attention biases- by Ali Soleymani

Lecturer: Ali Soleymani Attention biases—systematic tendencies to attend to certain stimuli over others—play a significant role in various psychological conditions, including substance use disorders and eating disorders. In this presentation, Ali will discuss the development and application of a free-viewing multi-stimulus eye-tracking task designed to assess attention biases toward disorder-specific cues. This task has demonstrated satisfactory reliability and criterion validity in measuring attention bias for alcohol versus soda cues . […]

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colaps: Mission and Vision Statement

Founded in 2021, the research group “Computational Methods in Modeling and Analysis of Learning Processes” (COLAPS) is one of the 13 scientific fields at the Department of Human-centered Computing and Cognitive Science (HCCS), Faculty of Computer Science, University of Duisburg-Essen. Our mission is to conduct innovative research on the integration of artificial intelligence and data analytics in education with the aim to model how people learn and to foster transformative […]

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