Publications

M.Sc. Katharina Lingelbach, Anna Vorreuther, Elias Moll, Mathias Vukelić (2024). Shielding the Mind with Flow: Attention Allocation and Auditory Event-related Potentials under Varying Mental Workload. EJN 2024.

M.Sc. Katharina Lingelbach, Christoph S. Herrmann, Jochem W. Rieger (2024). Navigating through Emotion-Cognition Interactions: Brain Oscillations of Visuo-Spatial Attention and Auditory Emotional Processing during Simulated Driving. SPR Annual Meeting 2024.

M.Sc. Katharina Lingelbach, Sabrina Gado, Maria Wirzberger, Mathias Vukelic (2023). Workload-dependent hemispheric asymmetries during the emotion-cognition interaction: A close-to-naturalistic fNIRS study. Front. Neuroergonomics.

Sabrina Gado, Katharina Lingelbach, Maria Wirzberger, Mathias Vukelić (2023). Decoding Mental Effort in a Quasi-Realistic Scenario: A Feasibility Study on Multimodal Data Fusion and Classification. Sensors.

Katharina Lingelbach, Daniel Diers, Michael Bui, Mathias Vukelić (2023). Investigating Feature Set Decisions for Mental State Decoding in Virtual Reality Based Learning Environments. AHFE 2023.

M.Sc. Katharina Lingelbach, Mathias Vukelić, Jochem W. Rieger (2023). GAUDIE: Development, validation, and exploration of a naturalistic German AUDItory Emotional database. Behav Res.

Katharina Lingelbach, Daniel Diers, Mathias Vukelić (2023). Towards User-Aware VR Learning Environments: Combining Brain-Computer Interfaces with Virtual Reality for Mental State Decoding. CHI EA ‘23.

M.Sc. Katharina Lingelbach, Nektaria Tagalidou, Patrick S. Markey, Bettina Föll, Matthias Peissner, Mathias Vukelić (2022). Examining Joy of Use and Usability During Mobile Phone Interactions within a Multimodal Methods Approach. MuC'22.

Sabrina Gado, Regina Kempen, M.Sc. Katharina Lingelbach, Tanja Bipp (2022). Artificial intelligence in psychology: How can we enable psychology students to accept and use artificial intelligence?. Psychology Learning & Teaching, 21(1).

M.Sc. Katharina Lingelbach, Michael Bui, Frederik Diederichs, Mathias Vukelić (2022). Exploring Conventional, Automated and Deep Machine Learning for Electrodermal Activity-Based Drivers’ Stress Recognition. IEEE International Conference on SMC 2021.