• DocumentCode
    652819
  • Title

    Learner Modelling and Automatic Engagement Recognition with Robotic Tutors

  • Author

    Papadopoulos, Fragkiskos ; Corrigan, Lee J. ; Jones, Andrew ; Castellano, Ginevra

  • Author_Institution
    Sch. of Electron., Electr. & Comput. Eng., Univ. of Birmingham, Birmingham, UK
  • fYear
    2013
  • fDate
    2-5 Sept. 2013
  • Firstpage
    740
  • Lastpage
    744
  • Abstract
    In this paper we discuss the initial steps of the design of a computational model capable of automatically detecting user engagement with an artificial robotic tutor. Generally, our model will be used with a robotic tutor to support and enhance the experience of the learner by regulating pedagogical and empathetic interventions in a timely manner. We describe the requirements of the learner model in order to understand the state of the learner and facilitate the learning progress. Additionally, we propose the initial steps of the design of a suitable scenario for the learning task activity to allow the model to be tested on actual class material from UK curriculum based on teachers´ feedback. Finally, we discuss an initial plan to build the model with real user data from a pilot study based on Wizard-of-Oz (WoZ) conducted in a real classroom environment.
  • Keywords
    computer aided instruction; educational courses; educational robots; human-robot interaction; UK curriculum; Wizard-of-Oz; WoZ; automatic engagement recognition; computational model; empathetic interventions; learner modelling; learning progress; learning task activity; pedagogical interventions; real classroom environment; robotic tutors; user engagement; Adaptation models; Computational modeling; Education; Games; Robot sensing systems; affect recognition; artificial tutors; automatic detection of engagement; human-robot interaction; social robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
  • Conference_Location
    Geneva
  • ISSN
    2156-8103
  • Type

    conf

  • DOI
    10.1109/ACII.2013.137
  • Filename
    6681529