Prof. Dr.-Ing. Nele Rußwinkel

@inproceedings{WeSchoSiRuICCM24,
  author    = {Alexander Werk and Sina Scholz and Thomas Sievers and Nele Russwinkel},
  title     = {How to Provide a Dynamic Cognitive Person Model of a Human Collaboration Partner to a Pepper Robot},
  booktitle = {ICCM},
  year      = {2024},
  volume    = {},
  pages     = {},
  publisher = {Society for Mathematical Psychology},
}

@INPROCEEDINGS{10557749,
  author={Sievers, Thomas and Russwinkel, Nele},
  booktitle={2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)}, 
  title={Interacting with a Sentimental Robot – Making Human Emotions tangible for a Social Robot via ChatGPT*}, 
  year={2024},
  volume={},
  number={},
  pages={182-187},
  keywords={Emotion recognition;Sentiment analysis;Analytical models;Mood;Social robots;Oral communication;Chatbots},
  doi={10.1109/ARSO60199.2024.10557749}}

@inproceedings{SiRuROMAN24,
  author    = {Thomas Sievers and Nele Russwinkel},
  title     = {Introducing a note of levity to human-robot interaction with dialogs containing irony, sarcasm and jocularity},
  booktitle = {IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)},
  year      = {2024},
  volume    = {},
  pages     = {},
  publisher = {IEEE},
}

@JOUR{10557749,
  author={Sievers, Thomas and Russwinkel, Nele},
  booktitle={KI - Künstliche Intelligenz}, 
  title={Project Report: Requirements for a Social Robot as an Information Provider in the Public Sector}, 
  year={2024},
  volume={37},
  number={2-4},
  pages={},
  keywords={Human-robot interaction;Social robotics;Public sector;ACT-R},
  doi={10.1007/s13218-024-00840-1}}

@InProceedings{10.1007/978-3-031-37848-5_26,
author = {Russwinkel, Nele
and Spitzhirn, Michael
and Remlinger, Wolfram
and Fleischer, Martin},
editor={Scataglini, Sofia
and Harih, Gregor
and Saeys, Wim
and Truijen, Steven},
title = {Towards an Approach for a Holistic Ergonomic Work Design Using Physical and Cognitive Digital Human Models},
booktitle = {Advances in Digital Human Modeling},
year = {2023},
publisher = {Springer Nature Switzerland},
address = {Cham},
pages = {229--237},
abstract = {Digital human models enable an economic and ergonomic design of products and work processes. These models investigate different aspects of the human. Anthropometric and biomechanical human models depict the physical characteristic and are used to examined physical load regarding feasibility and tolerability and in some extent to economic efficiency. Cognitive human models can model task knowledge, expectation driven behavior, learning as well as the impact of restricted resource such as attention and working memory. Only few approaches include cognitive as well as physical aspects at the same time due to complexity of the approaches and different scientific communities. Bringing both fields together will enable a holistic ergonomic work design by including physical and cognitive skills. Based on two use cases from product and production ergonomics, it will be shown (1) how the combination of both model forms can result in ergonomic evaluation (2) what information is needed to flow between model approaches for integration purposes. That will be shown by using a cognitive (cognitive architecture ACT-R) and two anthropometric models (ema Work Designer, RAMSIS). Finally, the potentials of holistic model approaches for the future and the challenges that must be overcome will be discussed.},
isbn = {978-3-031-37848-5}
}

@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{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.}
}

@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{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}
}