35 Publikationen

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  • [35]
    2024 | Konferenzbeitrag | Im Druck | PUB-ID: 2987032
    Booshehri, M., et al., In Press. Towards a computational architecture for co-constructive explainable systems. In Proceedings of the 2024 Workshop on Explainability Engineering (ExEn '24). IEEE Computer Society.
    PUB | DOI
     
  • [34]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969659
    Dyck, L., et al., 2023. Technical Transparency for Robot Navigation Through AR Visualizations. In G. Castellano, et al., eds. Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, pp. 720-724.
    PUB | DOI
     
  • [33]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978086
    Wrede, B., Vollmer, A.-L., & Krach, S., 2023. On the potentials of interaction breakdowns for HRI. The Behavioral and brain sciences, 46: e49.
    PUB | DOI | PubMed | Europe PMC
     
  • [32]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2969658
    Hindemith, L., et al., 2022. Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches. IEEE Transactions on Cognitive and Developmental Systems, , p 1-1.
    PUB | DOI | WoS
     
  • [31]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2967355 OA
    Rohlfing, K.J., et al., 2022. Which “motionese” parameters change with children's age? Disentangling attention-getting from action-structuring modifications. Frontiers in Communication, 7: 922405.
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [30]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2952641
    Langholf, L., et al., 2021. Testing the Elaboration Likelihood Model of Persuasion on the Acceptance of Health Regulations in a Video Human-Robot Interaction Study. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY: ACM, pp. 121-125.
    PUB | DOI
     
  • [29]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956623
    Richter, B., et al., 2021. Die COVID-19-Pandemie als Chance für Teletherapie? – Eine Umfrage bei Vertreter*innen von Gesundheitsfachberufen. Das Gesundheitswesen, 84(04), p 319-325.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [28]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960512 OA
    Klemme, I., et al., 2021. A Multi-Directional and Agile Academic Knowledge Transfer Strategy for Healthcare Technology. Frontiers in Robotics and AI, 8: 789827.
    PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [27]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961876
    Hindemith, L., et al., 2021. Why robots should be technical correcting mental models through technical architecture concepts. Interaction Studies , 22(2), p 244-279.
    PUB | DOI | WoS
     
  • [26]
    2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2939145 OA
    Hindemith, L., et al., 2019. Pragmatic Frames as an approach to reduce misinterpretations in Human-Robot-Interaction. Presented at the ICDL-EPIROB, Oslo, Norway.
    PUB | PDF
     
  • [25]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960528
    Vollmer, A.-L., 2018. Fears of Intelligent Robots. In T. Kanda, ed. Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY: ACM, pp. 273-274.
    PUB | DOI
     
  • [24]
    2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2960525
    Vollmer, A.-L., et al., 2018. Task Instruction. In K. Gluck, J. Laird, & Strüngmann Forum Reports, eds. Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions. 26th ed. Cambridge, MA: MIT Press.
    PUB
     
  • [23]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2931028
    Vollmer, A.-L., et al., 2018. Children conform, adults resist: A robot group induced peer pressure on normative social conformity. Science Robotics, 3(21): eaat7111.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [22]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2921123 OA
    Vollmer, A.-L., & Hemion, N.J., 2018. A User Study on Robot Skill Learning Without a Cost Function: Optimization of Dynamic Movement Primitives via Naive User Feedback. Frontiers in Robotics and AI, 5: 77.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [21]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914916
    Vollmer, A.-L., & Schillingmann, L., 2017. On Studying Human Teaching Behavior with Robots: a Review. Review of Philosophy and Psychology, 9(4), p 863-903.
    PUB | DOI | WoS
     
  • [20]
    2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2960527
    Vollmer, A.-L., 2016. Studying teaching using robots. In A. M. Battro, et al., eds. Mind, Brain and Education at Erice: 10 years. Erice, Italy, pp. 153-158.
    PUB
     
  • [19]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2906547
    Vollmer, A.-L., et al., 2016. Pragmatic Frames for Teaching and Learning in Human-Robot interaction: Review and Challenges. FRONTIERS IN NEUROROBOTICS, 10: 10.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [18]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2904105 OA
    Rohlfing, K., et al., 2016. An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames. FRONTIERS IN PSYCHOLOGY, 7: 470.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [17]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2730760
    Vollmer, A.-L., et al., 2015. Alignment to the Actions of a Robot. International Journal of Social Robotics, 7(2), p 241-252.
    PUB | DOI | WoS
     
  • [16]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960529
    Baxter, P., et al., 2014. Tracking gaze over time in HRI as a proxy for engagement and attribution of social agency. In G. Sagerer, ed. Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction. New York, NY: ACM, pp. 126-127.
    PUB | DOI
     
  • [15]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2656289 OA
    Vollmer, A.-L., et al., 2014. Robots show us how to teach them: Feedback from robots shapes tutoring behavior during action learning. PLoS ONE, 9(3): e91349.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [14]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914915
    Lember, J., Matzinger, H., & Vollmer, A.-L., 2014. Optimal alignments of longest common subsequences and their path properties. Bernoulli, 20(3), p 1292-1343.
    PUB | DOI | WoS
     
  • [13]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2662158 OA
    Pitsch, K., et al., 2014. Tutoring in adult-child-interaction: On the loop of the tutor's action modification and the recipient's gaze. Interaction Studies, 15(1), p 55-98.
    PUB | PDF | DOI | WoS
     
  • [12]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914920
    Vollmer, A.-L., et al., 2014. Studying the Co-Construction of Interaction Protocols in Collaborative Tasks with Humans. In 2014 Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. Piscataway, NJ: IEEE, pp. 208-215.
    PUB
     
  • [11]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960532
    Vollmer, A.-L., et al., 2013. Demonstrating actions to a robot: How na\ive users adapt to a robot’s replication of goal and manner-oriented actions. In R. Fernández & A. Isard, eds. SEMDIAL 2013 DialDam. Proceedings of the 17th Workshop on the Semantics and Pragmatics of Dialogue : Amsterdam, 16-18 December 2013. Proceedings SemDial. Amsterdam: Univ. of Amsterdam, pp. 240-242.
    PUB | Download (ext.)
     
  • [10]
    2013 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2960531
    Vollmer, A.-L., et al., 2013. Do beliefs about a robot's capabilities influence alignment to its actions? In Institut of Electrical and Electronics Engineers (IEEE), ed. 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL). pp. 1-6.
    PUB | DOI
     
  • [9]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2622414 OA
    Pitsch, K., Vollmer, A.-L., & Muehlig, M., 2013. Robot feedback shapes the tutor's presentation. How a robot's online gaze strategies lead to micro-adaptation of the human's conduct. Interaction Studies, 14(2), p 268-296.
    PUB | PDF | DOI | WoS
     
  • [8]
    2011 | Bielefelder E-Dissertation | PUB-ID: 2425102 OA
    Vollmer, A.-L., 2011. Measurement and analysis of interactive behavior in tutoring action with children and robots, Bielefeld: Universität Bielefeld.
    PUB | PDF
     
  • [7]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001439
    Vollmer, A.-L., et al., 2010. Developing feedback: How children of different age contribute to a tutoring interaction with adults. In Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning. pp. 76-81.
    PUB
     
  • [6]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034709
    Lohan, K.S., et al., 2010. Does embodiment affect tutoring behavior? In International Conference on Development and Learning. IEEE.
    PUB
     
  • [5]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1991995
    Pitsch, K., et al., 2009. On the loop of action modification and the recipient's gaze in adult-child interaction. In Gesture and Speech in Interaction. Poznan, Poland.
    PUB
     
  • [4]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1890625
    Lohan, K.S., et al., 2009. Which ostensive stimuli can be used for a robot to detect and maintain tutoring situations? In Institute of Electrical and Electronics Engineers, ed. IEEE International Workshop on Social Signal Processing. Berkeley, USA: International Computer Science Institute.
    PUB | DOI
     
  • [3]
    2009 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2281385
    Vollmer, A.-L., et al., 2009. Which Motionese Parameters Change with Children’s Age?
    PUB
     
  • [2]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001430
    Vollmer, A.-L., et al., 2009. People modify their tutoring behavior in robot-directed interaction for action learning. In Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning. IEEE, pp. 1-6.
    PUB | DOI
     
  • [1]
    2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1890843
    Swadzba, A., et al., 2008. Reducing Noise and Redundancy in Registered Range Data for Planar Surface Extraction. In International Association for Pattern Recognition, ed. International Conference on Pattern Recognition. Piscataway, NJ: IEEE.
    PUB | DOI
     

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