| 2023 | CHI | Towards User-Aware VR Learning Environments: Combining Brain-Computer Interfaces with Virtual Reality for Mental State Decoding. | Katharina Lingelbach, Daniel Diers, Mathias Vukelic |
| 2021 | HCI | Real-Time Feedback of Subjective Affect and Working Memory Load Based on Neurophysiological Activity. | Sabrina Gado, Katharina Lingelbach, Michael Bui, Jochem W. Rieger, Mathias Vukelic |
| 2021 | SMC | Exploring Conventional, Automated and Deep Machine Learning for Electrodermal Activity-Based Drivers' Stress Recognition. | Katharina Lingelbach, Michael Bui, Frederik Diederichs, Mathias Vukelic |
| 2020 | HCI | Affective Use Cases for Empathic Vehicles in Highly Automated Driving: Results of an Expert Workshop. | Michael Oehl, Klas Ihme, Anna-Antonia Pape, Mathias Vukelic, Michael Braun |
| 2019 | CHI | How to Work in the Car of the Future?: A Neuroergonomical Study Assessing Concentration, Performance and Workload Based on Subjective, Behavioral and Neurophysiological Insights. | Kathrin Pollmann, Oliver Stefani, Amelie Bengsch, Matthias Peissner, Mathias Vukelic |
| 2018 | HCI | Can We Distinguish Pragmatic from Hedonic User Experience Qualities with Implicit Measures? | Kathrin Pollmann, Victoria Sinram, Nora Fronemann, Mathias Vukelic |
| 2017 | IUI | A New Experimental Paradigm for Affective Research in Neuro-adaptive Technologies. | Kathrin Pollmann, Daniel Ziegler, Matthias Peissner, Mathias Vukelic |
| 2016 | HCI | fNIRS as a Method to Capture the Emotional User Experience: A Feasibility Study. | Kathrin Pollmann, Mathias Vukelic, Niels Birbaumer, Matthias Peissner, Wilhelm Bauer, Sunjung Kim |
| 2015 | ACII | Towards affect detection during human-technology interaction: An empirical study using a combined EEG and fNIRS approach. | Kathrin Pollmann, Mathias Vukelic, Matthias Peissner |