Data & Code

Below are datasets, tools, and resources from our lab's research.

Team Neural Measures violin plots
Christopher Micek, Lasse Warnke, Lourenço Abrunhosa Rodrigues, Felix Putze, Erin T. Solovey. CHI 2026.
A multimodal dataset of physiological and behavioral signals collected during collaborative creative tasks. The dataset supports research on adaptive interfaces for team collaboration and includes synchronized physiological, interaction, and task performance data.
BrainEx pipeline overview diagram
Alicia Howell-Munson, Christopher Micek, Ziheng Li, Michael Clements, Andrew C. Nolan, Jackson Powell, Erin T. Solovey, Rodica Neamtu. ACM EICS 2022.
BrainEx is a visual analytics tool for interactive exploration and similarity search within brain signal datasets. It enables fast exploration of large, complex time series collections with support for feature visualization and natural clustering, designed for both expert and non-expert researchers.
TOCHI attribute prevalence chart
Felix Putze, Susanne Putze, Merle Sagehorn, Christopher Micek, Erin T. Solovey. ACM TOCHI 2022.
An investigation of current practices and challenges in reporting brain signal experiments in HCI, resulting in guidelines to support reproducibility and reuse of brain signal data across studies.