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
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