Type: Bachelor
Status: Assigned February 2023
Student: Andrea Prato

Memory Augmentation Systems could be capable of selecting specific to-be-remembered events during an experience, e.g., by detecting the individual as distracted or unengaged. Such information could then be used to generate memory cues for the specific periods during which the user was distracted. One way used to detect the cognitive state of users, e.g. if the user is focused on a task, is through physiological signals, like electrodermal activity (EDA) and interbeat interval (IBI). The goal of this thesis is to evaluate the potential of physiological signals captured by a wrist-worn device to detect the cognitive load of individuals presented with a memory task. The final purpose is to use this work as an additional input in future Memory Augmentation Systems. The specific tasks of the project are: (i) Overview methods for physiological signal processing and review memory augmentation literature; (ii) Develop the necessary code for processing the EDA and IBI data; (iii) Design and run an experiment to test the setup and pipeline.

For more information contact: Matías Laporte