Prof. Dr.-Ing. Nele Rußwinkel

@INPROCEEDINGS{SiRu,
author ={Thomas Sievers and Nele Russwinkel},
title ={Talking like one of us: Effects of using regional language in a Humanoid Social Robot},
booktitle ={Social Robotics},
year ={2023},
pages = {71-80},
publisher = {Springer, Singapore},
url ={http://dx.doi.org/10.1007/978-981-99-8718-4_7},
keywords ={Social Robots; Human-Robot Interaction; Regional Language; Communication; Cultural Identity},
}

@article{PREUSS2023324,
title = {Towards A Human-Centered Digital Twin},
journal = {Procedia CIRP},
volume = {118},
pages = {324-329},
year = {2023},
note = {16th CIRP Conference on Intelligent Computation in Manufacturing Engineering},
issn = {2212-8271},
doi = {https://doi.org/10.1016/j.procir.2023.06.056},
url = {https://www.sciencedirect.com/science/article/pii/S2212827123002809},
author = {Kai Preuss and Svenja Nicole Schulte and Lukas Rzazonka and Lilian Befort and Carina Fresemann and Rainer Stark and Nele Russwinkel},
keywords = {digital twin, cognitive modeling, human-centered design, user study},
abstract = {The Digital Twin paradigm incorporates the application of virtual prototypes established during product development as well as sensor data collected during the production and use phase. Another aspect concerns digital representation of the product's end users. A stronger connection between a digital product and its digital user would complement the Digital Twin. This paper investigates the concept of coupling a geometrical model of an adjustable operating table including position sensors with a cognitive digital user. Users interacted with both real and virtual instances of the table. Resulting data allow for evaluation of the usability of different interface variants and virtual product representations to develop a cognitive model of end users, showing the potential of a combined Digital Twin in human-centered design.}
}

@article{HEIMISCH2023108615,
title = {Cognitive processing stages in mental rotation – How can cognitive modelling inform HsMM-EEG models?},
journal = {Neuropsychologia},
volume = {188},
pages = {108615},
year = {2023},
issn = {0028-3932},
doi = {https://doi.org/10.1016/j.neuropsychologia.2023.108615},
url = {https://www.sciencedirect.com/science/article/pii/S0028393223001495},
author = {Linda Heimisch and Kai Preuss and Nele Russwinkel},
keywords = {Electroencephalography, Cognitive modelling, HsMM, ACT-R, Mental rotation},
abstract = {The aspiration for insight into human cognitive processing has traditionally driven research in cognitive science. With methods such as the Hidden semi-Markov Model-Electroencephalography (HsMM-EEG) method, new approaches have been developed that help to understand the temporal structure of cognition by identifying temporally discrete processing stages. However, it remains challenging to assign concrete functional contributions by specific processing stages to the overall cognitive process. In this paper, we address this challenge by linking HsMM-EEG3 with cognitive modelling, with the aim of further validating the HsMM-EEG3 method and demonstrating the potential of cognitive models to facilitate functional interpretation of processing stages. For this purpose, we applied HsMM-EEG3 to data from a mental rotation task and developed an ACT-R cognitive model that is able to closely replicate human performance in this task. Applying HsMM-EEG3 to the mental rotation experiment data revealed a strong likelihood for 6 distinct stages of cognitive processing during trials, with an additional stage for non-rotated conditions. The cognitive model predicted intra-trial mental activity patterns that project well onto the processing stages, while explaining the additional stage as a marker of non-spatial shortcut use. Thereby, this combined methodology provided substantially more information than either method by itself and suggests conclusions for cognitive processing in general.}
}

@article{Hao2023ACO,
  title={A Commentary on Towards autonomous artificial agents with an active self: Modeling sense of control in situated action
},
  author={Chenxu Hao and Nele Russwinkel and Daniel F. B. Haeufle and Philipp Beckerle},
  journal={Cognitive Systems Research},
  year={2023},
  volume={79},
  pages={1-3}
}

@article{ScharfeScherf2022ACM,
  title={A Cognitive Model to Anticipate Variations of Situation Awareness and Attention for the Takeover in Highly Automated Driving},
  author={Marlene Susanne Lisa Scharfe-Scherf and Sebastian Wiese and Nele Russwinkel},
  journal={Inf.},
  year={2022},
  volume={13},
  pages={418}
}

@article{Borst2022AnticipatoryHI,
  title={Anticipatory Human-Machine Interaction (Dagstuhl Seminar 22202)},
  author={Jelmer P. Borst and Andreas Bulling and Cleotilde Gonz{\'a}lez and Nele Russwinkel},
  journal={Dagstuhl Reports},
  year={2022},
  volume={12},
  pages={131-169}
}

@article{Blum2022CognitiveMO,
  title={Cognitive Modeling of Anticipation: Unsupervised Learning and Symbolic Modeling of Pilots' Mental Representations},
  author={Sebastian Blum and Oliver W. Klaproth and Nele Russwinkel},
  journal={Topics in cognitive science},
  year={2022}
}

@inproceedings{Beckerle2022FourCO,
  title={Four considerations on interdisciplinary learning at the boundaries of human and engineering sciences},
  author={Philipp Beckerle and Chenxu Hao and Daniel F. B. Haeufle and Nele Russwinkel},
  booktitle={Frontiers in Education},
  year={2022}
}

@article{Krol2022TowardsNM,
  title={Towards neuroadaptive modeling: assessing the cognitive states of pilots through passive brain-computer interfacing},
  author={Laurens R. Krol and Oliver W. Klaproth and Christoph Vernaleken and Nele Russwinkel and Thorsten O. Zander},
  journal={Current Research in Neuroadaptive Technology},
  year={2022}
}