Applying machine learning to implement an assistant for task-switching decisions
Suitable for:
Student, Bachelor or Master projectDescription:
We collected a dataset in which people had to decide when to switch between tasks in a multitasking scenario. Based on this dataset, an assistant should be implemented that predicts for each person in the dataset when they would switch tasks in the following multitasking scenarios. Different machine learning methods can be considered to fit a model to the human data, e.g. neural networks or reinforcement learning. The parameters fitted to the appropriate model should be analyzed.