PUB - Publikationen an der Universität Bielefeld

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• [11]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2980228

  Stange, S., & Kopp, S. (2023). Towards Robots That Meet Users’ Need for Explanation. In P. Lukowicz, S. Mayer, J. Koch, J. Shawe-Taylor, & I. Tiddi (Eds.), Frontiers in Artificial Intelligence and Applications. HHAI 2023: Augmenting Human Intellect. Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence IOS Press. https://doi.org/10.3233/FAIA230099

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• [10]
  

  2023 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2968153

  Schröder, F., Stange, S., & Kopp, S. (2023). Resolving References in Natural Language Explanation Requests about Robot Behavior in HRI. Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI '23 Companion) New York, NY: ACM. https://doi.org/10.1145/3568294.3579981

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• [9]
  

  2022 | Bielefelder E-Dissertation | PUB-ID: 2967737

  Stange, S. (2022). Tell Me Why (and What)! Self-Explanations for Autonomous Social Robot Behavior. Bielefeld: Universität Bielefeld. https://doi.org/10.4119/unibi/2967737

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• [8]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962472

  Stange, S., Hassan, T., Schröder, F., Konkol, J., & Kopp, S. (2022). Self-Explaining Social Robots: An Explainable Behavior Generation Architecture for Human-Robot Interaction . Frontiers in Artificial Intelligence, 5, 866920. https://doi.org/10.3389/frai.2022.866920

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• [7]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2951236

  Stange, S., & Kopp, S. (2021). Effects of Referring to Robot vs. User Needs in Self-Explanations of Undesirable Robot Behavior. Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’21 Companion) Boulder, CO, USA: ACM. https://doi.org/10.1145/3434074.3447174

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• [6]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957813

  Stange, S., & Kopp, S. (2021). Explaining Before or After Acting? How the Timing of Self-Explanations Affects User Perception of Robot Behavior. In H. Li, S. S. Ge, Y. Wu, A. Wykowska, H. He, X. Liu, D. Li, et al. (Eds.), Lecture Notes in Computer Science : Vol. 13086. Social Robotics. 13th International Conference, ICSR 2021, Singapore, Singapore, November 10–13, 2021, Proceedings (pp. 142-153). Cham: Springer. https://doi.org/10.1007/978-3-030-90525-5_13

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• [5]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2939832

  Stange, S., & Kopp, S. (2020). Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior. Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 619–627. New York, NY: ACM. https://doi.org/10.1145/3319502.3374802

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• [4]
  

  2020 | Datenpublikation | PUB-ID: 2964881

  Stange, S., & Kopp, S. (2020). Video Stimuli and Appendix to Stange & Kopp 2020 (Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior). Bielefeld University. https://doi.org/10.4119/unibi/2964881

  PUB | Dateien verfügbar | DOI
   
• [3]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2938070

  Schodde, T., Hoffmann, L., Stange, S., & Kopp, S. (2020). Adapt, Explain, Engage - A Study on How Social Robots Can Scaffold Second-Language Learning of Children. ACM Transactions on Human-Robot Interaction, 9(1), 1-27. doi:10.1145/3366422

  PUB | DOI | WoS
   
• [2]
  

  2019 | Datenpublikation | PUB-ID: 2938068

  Schodde, T., Hoffmann, L., Stange, S., & Kopp, S. (2019). Software and dataset of a study investigating the effect of additional explanations provided by a robot on children's second language learning. Bielefeld University. doi:10.4119/unibi/2938068

  PUB | Dateien verfügbar | DOI
   
• [1]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934511

  Stange, S., Buschmeier, H., Hassan, T., Ritter, C., & Kopp, S. (2019). Towards self-explaining social robots. Verbal explanation strategies for a needs-based architecture. Presented at the AAMAS 2019 Workshop on Cognitive Architectures for HRI: Embodied Models of Situated Natural Language Interactions (MM-Cog), Montréal, Canada.

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