27 Publikationen

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  • [27]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920166 OA
    S. Kopp, et al., “Conversational Assistants for Elderly Users – The Importance of Socially Cooperative Dialogue”, Proceedings of the AAMAS Workshop on Intelligent Conversation Agents in Home and Geriatric Care Applications co-located with the Federated AI Meeting, E. André, et al., eds., CEUR Workshop Proceedings, vol. 2338, Aachen: RWTH, 2018, pp.10–17.
    PUB | PDF | Download (ext.)
     
  • [26]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2919297
    L. Schillingmann, et al., “AlignTool: The automatic temporal alignment of spoken utterances in German, Dutch, and British English for psycholinguistic purposes”, BEHAVIOR RESEARCH METHODS, vol. 50, 2018, pp. 466-489.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [25]
    2017 | Konferenzbeitrag | PUB-ID: 2915010 OA
    E. Wall, F. Kummert, and L. Schillingmann, “Online nod detection in human–robot interaction”, 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2017, pp.811-817.
    PUB | PDF
     
  • [24]
    2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2941533
    L. Schröder, et al., “A Multimodal Interactive Storytelling Agent Using the Anthropomorphic Robot Head Flobi”, Proceedings of the 5th International Conference on Human Agent Interaction - HAI '17, B. Wrede, ed., New York: ACM, 2017.
    PUB | DOI | Download (ext.)
     
  • [23]
    2017 | Konferenzbeitrag | PUB-ID: 2915391 OA
    M. Brandt, et al., “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, 2017.
    PUB | PDF | arXiv
     
  • [22]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902826 OA
    L. Schillingmann and Y. Nagai, “Yet another gaze detector: An embodied calibration free system for the iCub robot”, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), Seoul: IEEE, 2015.
    PUB | PDF | DOI
     
  • [21]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2787108 OA
    O. Palinko, et al., “Gaze Contingency in Turn-Taking for Human Robot Interaction: Advantages and Drawbacks”, Presented at the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015.
    PUB | PDF
     
  • [20]
    2015 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2787225 OA
    L. Schillingmann, et al., “How do Infants Coordinate Head and Gaze?: Computational Analysis of Infant’s First Person View in Social Interactions”, Presented at the Biennial Meeting of the SRCD, Philadelphia, 2015.
    PUB | PDF
     
  • [19]
    2015 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2787231
    E. Ugur, et al., “Use of speech and motion cues for bootstrapping complex action learning in iCub”, Presented at the 5th IEEE International Conference on Development and Learning and on Epigenetic Robotics, 2015.
    PUB
     
  • [18]
    2015 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2787236
    A. Sciutti, et al., “A Gaze-contingent Dictating Robot to Study Turn-taking”, Presented at the 10th ACM/IEEE International Conference on Human-Robot Interaction, 2015.
    PUB
     
  • [17]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2787083 OA
    L. Schillingmann and Y. Nagai, “Yet Another Gaze Detector: An Embodied Calibration Free System for the iCub Robot”, Presented at the 15th IEEE RAS Humanoids Conference on Humanoid Robots, Seoul, Korea, 2015.
    PUB | PDF
     
  • [16]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2787132 OA
    L. Schillingmann, et al., “Gaze is not Enough: Computational Analysis of Infant’s Head Movement Measures the Developing Response to Social Interaction”, Presented at the 37th Annual Meeting of the Cognitive Science Society, 2015.
    PUB | PDF
     
  • [15]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2605326
    B. Wrede, L. Schillingmann, and K. Rohlfing, “Making Use of Multi-Modal Synchrony: A Model of Acoustic Packaging to Tie Words to Actions”, Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence, L. Gogate and G. Hollich, eds., IGI Global, 2013, pp.224-240.
    PUB | DOI
     
  • [14]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2787182 OA
    M. Lohse, B. Wrede, and L. Schillingmann, “Enabling robots to make use of the structure of human actions - A user study employing Acoustic Packaging”, Presented at the 22nd IEEE International Symposium on Robot and Human Interactive Communication (IEEE RO-MAN 2013), 2013.
    PUB | PDF | DOI
     
  • [13]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2617262
    S. Griffiths, et al., “Bottom-Up Learning of Feedback in a Categorization Task”, ICDL-EpiRob 2012, San Diego, CA: 2012.
    PUB
     
  • [12]
    2012 | Bielefelder E-Dissertation | PUB-ID: 2538945 OA
    L. Schillingmann, A computational model of acoustic packaging, Bielefeld: Bielefeld University, 2012.
    PUB | PDF
     
  • [11]
    2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2306929
    I. Lütkebohle, et al., “A Mixed-Initiative Approach to Interactive Robot Tutoring”, Towards Service Robots for Everyday Environments, E. Prassler, et al., eds., Springer Tracts in Advanced Robotics ; 76, Berlin, Heidelberg: Springer, 2012, pp.483-502.
    PUB | DOI
     
  • [10]
    2011 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2144503 OA
    L. Schillingmann, et al., “Acoustic Packaging and the Learning of Words”, Presented at the IEEE ICDL-EPIROB 2011 (1st Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics), Frankfurt, Germany, 2011.
    PUB | PDF | DOI
     
  • [9]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2144469 OA
    L. Schillingmann, et al., “Using Prominence Detection to Generate Acoustic Feedback in Tutoring Scenarios”, Interspeech 2011 (12th Annual Conference of the International Speech Communication Association), 2011, pp.3105-3108.
    PUB | PDF
     
  • [8]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1890394
    L. Schillingmann, B. Wrede, and K. Rohlfing, “A Computational Model of Acoustic Packaging”, IEEE Transactions on Autonomous Mental Development, vol. 1, 2009, pp. 226-237.
    PUB | DOI | WoS
     
  • [7]
    2009 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 1890505 OA
    L. Schillingmann, B. Wrede, and K. Rohlfing, “Acoustic Packaging”, HUROBINT2009, 2009.
    PUB | PDF
     
  • [6]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1890597
    L. Schillingmann, et al., “The Structure of Robot-Directed Interaction compared to Adult- and Infant-Directed Interaction using a Model for Acoustic Packaging”, Spoken Dialogue and Human-Robot Interaction, Berkeley, USA: International Computer Science Institute, 2009.
    PUB
     
  • [5]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1890379 OA
    I. Lütkebohle, et al., “The Curious Robot - Structuring Interactive Robot Learning”, International Conference on Robotics and Automation, IEEE, 2009, pp.4156-4162.
    PUB | PDF | DOI
     
  • [4]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1890444
    L. Schillingmann, B. Wrede, and K. Rohlfing, “Towards a Computational Model of Acoustic Packaging”, International Conference on Development and Learning (ICDL 2009), IEEE, 2009.
    PUB | DOI
     
  • [3]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1891014
    L. Schillingmann, S. Wachsmuth, and B. Wrede, “Corpus-Based Training of Action-Specific Language Models”, Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue, 2007, pp.95-102.
    PUB
     
  • [2]
    2007 | Report | Veröffentlicht | PUB-ID: 1891048
    L. Schillingmann, Integration von visuellem Kontext in die Spracherkennung, Faculty of Technology, 2007.
    PUB
     
  • [1]
    2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1893905
    T. Plötz, et al., “Automatic Detection of Song Changes in Music Mixes Using Stochastic Models”, Proc. ICPR 2006, International Association for Pattern Recognition, ed., vol. 3, Los Alamitos, Calif. : IEEE, 2006, pp.665-668.
    PUB | DOI
     

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