PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2977905

  Richter, B., Putze, F., Ivucic, G., Brandt, M., Schütze, C., Reisenhofer, R., Wrede, B., et al. (2023). EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study. Multimodal Technologies and Interaction, 7(4), 37. https://doi.org/10.3390/mti7040037

  PUB | PDF | DOI | Download (ext.) | WoS
   
• [6]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985003

  Groß, A., Schütze, C., Brandt, M., Wrede, B., & Richter, B. (2023). RISE: an open-source architecture for interdisciplinary and reproducible human–robot interaction research. Frontiers in Robotics and AI, 10, 1245501. https://doi.org/10.3389/frobt.2023.1245501

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [5]
  

  2023 | Bielefelder E-Dissertation | PUB-ID: 2982225

  Brandt, M. (2023). Evaluation of the implementation of a psychological behaviour change model to promote energy saving behaviour. Implementation of a mobile app with the virtual robotic head Floka. Bielefeld: Universität Bielefeld. https://doi.org/10.4119/unibi/2982225

  PUB | PDF | DOI
   
• [4]
  

  2021 | Konferenzbeitrag | PUB-ID: 2960147

  Schlender, K., Brandt, M., Schmidt, K., Kösling, P., Sellenriek, A., Behrens, G., Kummert, F., et al. (2021). Identification of behavior changes in energy consumption behavior with machine learning. In V. Wohlgemuth, S. Naumann, H. - K. Arndt, & G. Behrens (Eds.), Environmental Informatics – A bogeyman or saviour to achieve the UN Sustainable Development Goals? (p. 236 ff.). Shaker.

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• [3]
  

  2019 | Konferenzbeitrag | PUB-ID: 2960149

  Behrens, G., Schlender, K., Brandt, M., & Kösling, P. (2019). Supervised machine learning of environmental energy consumption types by AI algorithms targeting CO2 emission reduction and avoidance of bad air quality by giving recommendations. In R. Schaldach, K. - H. Simon, J. Weismüller, & V. Wohlgemuth (Eds.), Environmental Informatics: Computational Sustainability (p. 381 ff.). Skaker.

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• [2]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920166

  Kopp, S., Brandt, M., Buschmeier, H., Cyra, K., Freigang, F., Krämer, N., Kummert, F., et al. (2018). Conversational Assistants for Elderly Users – The Importance of Socially Cooperative Dialogue. In E. André, T. Bickmore, S. Vrochidis, & L. Wanner (Eds.), CEUR Workshop Proceedings: Vol. 2338. Proceedings of the AAMAS Workshop on Intelligent Conversation Agents in Home and Geriatric Care Applications co-located with the Federated AI Meeting (p. 10–17). Aachen: RWTH.

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• [1]
  

  2017 | Konferenzbeitrag | PUB-ID: 2915391

  Brandt, M., Wrede, B., Kummert, F., & Schillingmann, L. (2017). Confirmation detection in human-agent interaction using non-lexical speech cues. Presented at the AAAI Symposium on Natural Communication for Human-Robot Collaboration, Arlington, VA.

  PUB | PDF | arXiv