Goals of module:
In this module we will address human computer interaction (HCI) in its interdisciplinary requirements focusing on the perspective from neurocognitive psychology. The goal of the module is to provide students with basic skills required to plan, implement and evaluate devices for human computer interaction. As a specific goal the module works toward the implementation of a brain computer interface (BCI). BCIs are ideal showcases as they fully span the interdisciplinary field of HCI design, implementation and evaluation.
Competencies:
Specific: The students learn core concepts in Human Computer Interaction plus data recording and analysis techniques related to Brain Machine Interfacing.
General: Interdisciplinary thinking, group work, project management.
Contents:
Part 1: Foundations of HCI and BCI (YOU ATTENDED ALREADY THIS PART OF THE MODULE LAST SEMESTER!)
• Human information processing and models of human cognition (Perception, attention, memory, emotion and individual differences)
• Computer interfaces for interaction
• Data analysis techniques for brain machine interfacing (time series analysis, feature selection, classification)
• Evaluation techniques
Part 2: HCI and BCI in practice (THE MODULE PART THAT YOU ARE CURRENTLY LOOKING AT)
• The second part of the module builds upon the theoretical concepts elaborated in the first. We will work through recent applications published in the literature and, where applicable, implement parts of a BCI-system and conduct experiments.
Literature:
• Dix et al. (2004) Human Computer Interaction. 3rd edition, Pearson
• Dornhege et al. (2007) Toward Brain Machine Interfacing, The MIT-Press
• Additional literature and material will be provided on the course website.