Publikationen
- Bocklisch, F., Lampke, T. (2024). Human-CoMo: A Combination of Cognitive Knowledge Engineering and Data Modelling for Human-Cyber-Physical Systems in Intelligent Manufacturing. Journal of Integrated Design and Process Science. https://doi.org/10.1177/10920617241295887
- Baladron, J., Hamker, F.H. (2023). Re-Thinking the Organization of Cortico-Basal Ganglia-Thalamo-Cortical Loops. Cogn Comput. https://doi.org/10.1007/s12559-023-10140-9
- Bethge, D., Hallgarten, P., Grosse-Puppendahl, T., Kari, M., Chuang, L. L., Özdenizci, O., & Schmidt, A. (2022). EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 3150–3157. https://doi.org/10.1109/SMC53654.2022.9945517
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Bocklisch, F., Bocklisch, S.F., Grimm, M., Lampke, T., & Joshi, S. (2024). Hybrid Decision-Making in Atmospheric Plasma Spraying enables Human-Machine Teaming. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-024-13595-8
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Bocklisch, F., Huchler, N. (2023). Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing. Front. Artif. Intell. 6:1247755. https://doi.org/10.3389/frai.2023.1247755
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Bocklisch, F., Paczkowski, G., Zimmermann, S., & Lampke, T. (2022). Integrating human cognition in cyber-physical systems: A multidimensional fuzzy pattern model with application to thermal spraying. Journal of Manufacturing Systems, 63, 162–176. https://doi.org/10.1016/j.jmsy.2022.03.005
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Bocklisch, F., Bocklisch, S.F., Grimm, M., Lampke, T., & Joshi, S. (2024). Hybrid Decision-Making in Atmospheric Plasma Spraying enables Human-Machine Teaming. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-024-13595-8
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Burkhardt, M., Bergelt, J., Gönner, L., Dinkelbach, H. Ü., Beuth, F., Schwarz, A., ... & Hamker, F. H. (2023). A large-scale neurocomputational model of spatial cognition integrating memory with vision. Neural Networks. https://doi.org/10.1016/j.neunet.2023.08.034
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Draxler, F., Haller, L., Schmidt, A., & Chuang, L. L. (2022). Auto-Generating Multimedia Language Learning Material for Children with Off-the-Shelf AI. Proceedings of Mensch Und Computer 2022, 96–105. https://doi.org/10.1145/3543758.3543777
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Dreger, F., Chuang, L. L., & Rinkenauer, G. (2022). Learning to Master Robotic Arm Movements with Bimanual Joystick Control: Indicators for Evaluating the Difficulty of Movement Tasks. Human Factors in Robots, Drones and Unmanned Systems, 57(57). https://doi.org/10.54941/ahfe1002318
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Grimm, M., Drehmann, R., Lindner, T., Morgenstern, T., Klichowicz, A., Bocklisch, F., Lampke, T.; (2023). Effects of Plasma-Related Input Parameters on Fluctuation and Coating Characteristics in APS—Towards a Transdisciplinary Integration of Technical Assessments and Human Knowledge-Driven Evaluations. Proceedings of the ITSC 2023. Thermal Spray 2023: Proceedings from the International Thermal Spray Conference. Québec City, Canada. (pp. pp. 495-502). ASM. https://doi.org/10.31399/asm.cp.itsc2023p0495
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Jahn, K., Oschinsky, F. M., Kordyaka, B., Machulska, A., Eiler, T. J., Gruenewald, A., Klucken, T., Brueck, R., Gethmann, C. F., & Niehaves, B. (2022). Design elements in immersive virtual reality: The impact of object presence on health-related outcomes. Internet Research, 32(7), 376–401. https://doi.org/10.1108/INTR-12-2020-0712
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Kaden, S., Schwarz, L., Röhrbein, F. (2024): A Research Platform for Human-Robot-Interaction with Focus on Collaborative Assembly Scenarios. IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Aug 26 - Aug 30, 2024 to be held in Pasadena, California
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Klichowicz, A., Morgenstern, T., Bocklisch, F. (2023). Using Conceptual Chunking to Support Information Processing While Solving Complex Industrial Tasks. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 694. Springer, Singapore. https://doi.org/10.1007/978-981-99-3091-3_4
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Kosch, T., Welsch, R., Chuang, L., & Schmidt, A. (2022). The Placebo Effect of Artificial Intelligence in Human-Computer Interaction. ACM Transactions on Computer-Human Interaction. https://doi.org/10.1145/3529225
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Kuske N., Ragni M., Röhrbein F., Vitay J., Hamker F. (2022): Demands and potentials of different levels of neuro-cognitive models für human spatial cognition. In, E. Ferstl, L. Konieczny, & R. Stülpnagel (Eds.), Proceedings of KogWiss2022, the 15th Biannual Conference of the German Society for Cognitive Science (pp. 115-116). Albert-Ludwigs-Universität Freiburg. doi:10.6094/UNIFR/229611
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Morgenstern, T., Klichowicz, A., Bengler, P., Todtermuschke, M., & Bocklisch, F. (2024). Towards a Cognition-Based Framework Describing Interdisciplinary Expert Team Processes for Cognitive Robotics in Industry 5.0 Technologies. Applied Sciences; 14(10):4121. https://doi.org/10.3390/app14104121
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Noack B., Röhrbein F., Notni G. (2023): Event-Based Sensor Fusion in Human-Machine Teaming. 60th Ilmenau Scientific Colloquium (2023).
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Ragni, M. Cooperative Human Artificial Intelligence. Künstl Intell. 35, 123–124 (2021). https://doi.org/10.1007/s13218-021-00720-y
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Zeuge, A., Lemmer, K., Klesel, M., Kordyaka, B., Jahn, K., & Niehaves, B. (2023). To be or not to be stressed: Designing autonomy to reduce stress at work. Work (Reading, Mass.), 75(4), 1199–1213. https://doi.org/10.3233/WOR-220177
