PUB - Publikationen an der Universität Bielefeld

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• [9]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2994710

  Decoding Engagement: The Role of Closeness Cues in Human-Robot Interactions
  Loos KS, Brandt M, Vollmer A-L (2024)
  In: 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE: 711-716.

  PUB | DOI
   
• [8]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2993477

  What you need to know about a learning robot: Identifying the enabling architecture of complex systems
  Beierling H, Richter P, Brandt M, Terfloth L, Schulte C, Wersing H, Vollmer A-L (2024)
  Cognitive Systems Research 88: 101286.

  PUB | DOI | Download (ext.) | WoS
   
• [7]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985003

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

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [6]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2977905

  EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study
  Richter B, Putze F, Ivucic G, Brandt M, Schütze C, Reisenhofer R, Wrede B, Schultz T (2023)
  Multimodal Technologies and Interaction 7(4): 37.

  PUB | PDF | DOI | Download (ext.) | WoS
   
• [5]
  

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

  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
  Brandt M (2023)
  Bielefeld: Universität Bielefeld.

  PUB | PDF | DOI
   
• [4]
  

  2021 | Konferenzbeitrag | PUB-ID: 2960147

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

  PUB
   
• [3]
  

  2019 | Konferenzbeitrag | PUB-ID: 2960149

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

  PUB
   
• [2]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920166

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

  PUB | PDF | Download (ext.)
   
• [1]
  

  2017 | Konferenzbeitrag | PUB-ID: 2915391

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

  PUB | PDF | arXiv