Project D05

D05 | Visual Computing for ERP-based Brain Activity

Jun.-Prof. Dr. Benedikt Ehinger, University of Stuttgart
Email | Website

Prof. Daniel A. Keim, University of Konstanz
Email | Website

Vladimir Mikheev, University of Stuttgart Email | Website

About this project
Results

In this project we investigate how brain potentials (EEG/ERPs) can be visualized in a modern, dynamic setting. We want to understand how researchers explore and visualize their data, how we can support this process using open, interactive, and fast visualization tools, and finally benchmark different approaches against eachother.

Research Questions

What are the requirements for a successful EEG exploration tool?

How could a practical implementation of this approach look like?

How successful are different aspects of EEG exploration tools?

D05: State of the art on regression based EEG visualization

Fig. 1: State of the art on regression based EEG visualization.

D05: Four examples on common techniques to slice the multi-dimensional space of regression based EEG visualization.

Fig. 2: Four examples on common techniques to slice the multi-dimensional space of regression based EEG visualization.

Publications

F. Chiossi et al., “Adapting visualizations and interfaces to the user,” it - Information Technology, vol. 64, no. 4–5, Art. no. 4–5, 2022, doi: 10.1515/itit-2022-0035.
Abstract
Adaptive visualization and interfaces pervade our everyday tasks to improve interaction from the point of view of user performance and experience. This approach allows using several user inputs, whether physiological, behavioral, qualitative, or multimodal combinations, to enhance the interaction. Due to the multitude of approaches, we outline the current research trends of inputs used to adapt visualizations and user interfaces. Moreover, we discuss methodological approaches used in mixed reality, physiological computing, visual analytics, and proficiency-aware systems. With this work, we provide an overview of the current research in adaptive systems.
BibTeX
@article{ChiossiZagermannKarolusRodriguesBalestrucciWeiskopfEhingerFeuchtnerReitererChuangErnstBullingMayerSchmidt+2022, abstract = {Adaptive visualization and interfaces pervade our everyday tasks to improve interaction from the point of view of user performance and experience. This approach allows using several user inputs, whether physiological, behavioral, qualitative, or multimodal combinations, to enhance the interaction. Due to the multitude of approaches, we outline the current research trends of inputs used to adapt visualizations and user interfaces. Moreover, we discuss methodological approaches used in mixed reality, physiological computing, visual analytics, and proficiency-aware systems. With this work, we provide an overview of the current research in adaptive systems.}, author = {Chiossi, Francesco and Zagermann, Johannes and Karolus, Jakob and Rodrigues, Nils and Balestrucci, Priscilla and Weiskopf, Daniel and Ehinger, Benedikt and Feuchtner, Tiare and Reiterer, Harald and Chuang, Lewis L. and Ernst, Marc and Bulling, Andreas and Mayer, Sven and Schmidt, Albrecht}, doi = {10.1515/itit-2022-0035}, journal = {it - Information Technology}, number = {4-5}, pages = {133–143}, title = {Adapting visualizations and interfaces to the user}, url = {https://www.degruyter.com/document/doi/10.1515/itit-2022-0035}, volume = 64, year = 2022 }
Link
https://www.degruyter.com/document/doi/10.1515/itit-2022-0035