Daniel J. Strauß

The paper validates and optimizes a 6DOF-SVC model to predict motion sickness incidence in car passengers across five driving studies, finding a 10% fluctuation in MSI and individual thresholds that are too variable for practical use.

The paper investigates how speech-evoked ERPs, particularly the N1 effect, contribute to linear modeling of brain activity during selective attention to speech, showing their critical role in improving signal-to-noise ratio and speech tracking.

The paper revisits an old study on auditory selective attention's effect on brainstem potentials using modern stimuli and analysis, finding increased spectrotemporal consistency in subcortical structures.

The study investigates whether auricular muscle EMG activity reflects effortful listening by varying listening effort and stimulus direction in a competing speaker paradigm.

This study evaluates visual-tactile synchronization in VR by analyzing EEG responses to mismatched sensory inputs, finding distinct ERP patterns associated with mismatches.

The paper proposes a two-competitor model to characterize attention in immersion, linking attention modes to affect and providing a framework for measurable assessment of immersive experiences.

The paper introduces a motion compensation method for 2-photon imaging data that outperforms existing tools and handles low signal-to-noise ratio and high-divergence displacements.

The paper introduces a variational method for aligning 1D signals with non-flat displacements, achieving state-of-the-art alignment quality and speed in neuroimaging applications.

The paper shows that human ear muscle activity reflects auditory attention direction, revealing a vestigial pinna-orienting system still active in the brain.