Evaluating Presentation Methods for Cognitive Reflection
BT/MT
| Status | open |
| Student | N/A |
| Advisor | Teodora Mitrevska |
| Professor | Prof. Dr. Andreas Butz |
Task
Description
Project Overview
Neurofeedback, or EEG biofeedback, is a non-invasive technique that supports self-regulation by helping users influence their brain activity through real-time feedback. Using electrodes placed on the scalp, systems measure brainwave activity and translate it into signals that users can respond to during training. However, raw EEG signals are difficult to translate into actionable insight. To prevent cognitive overload, ambiguity, and misinterpretation, consumer-facing systems require feedback designs that display neural outcomes in an understandable and trustworthy way. While prior work emphasizes signal acquisition and training protocols, fewer studies compare how different feedback representations influence interpretability, engagement, and trust in consumer contexts.
Project Goals
In this project, we will be exploring different visualization and data presentation techniques for cognitive feedback
You will
- Test an existing system for data interpretation.
- Explore different designs and data visualizations.
- Run a user study to evaluate them.
- Summarize findings in a thesis and present them.
- (Optional) Co-write a research paper based on the results.
You need
- Strong communication skills in English.
- Basic understanding of web apps.
- Affinity for design.
