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Front Psychol. 2018 Jun 13;9:927. doi: 10.3389/fpsyg.2018.00927. eCollection 2018.

Guided Embodiment and Potential Applications of Tutor Systems in Language Instruction and Rehabilitation.

Author information

1
Information Engineering, Johannes Kepler Universität Linz, Linz, Austria.
2
Neural Mechanisms of Human Communication, Max-Planck-Institut für Kognitions- und Neurowissenschaften, Leipzig, Germany.
3
Linz Center of Mechatronics GmbH, Linz, Austria.
4
Sew Systems Gmbh, Linz, Austria.

Abstract

Intelligent tutor systems (ITSs) in mobile devices take us through learning tasks and make learning ubiquitous, autonomous, and at low cost (Nye, 2015). In this paper, we describe guided embodiment as an ITS essential feature for second language learning (L2) and aphasia rehabilitation (ARe) that enhances efficiency in the learning process. In embodiment, cognitive processes, here specifically language (re)learning are grounded in actions and gestures (Pecher and Zwaan, 2005; Fischer and Zwaan, 2008; Dijkstra and Post, 2015). In order to guide users through embodiment, ITSs must track action and gesture, and give corrective feed-back to achieve the users' goals. Therefore, sensor systems are essential to guided embodiment. In the next sections, we describe sensor systems that can be implemented in ITS for guided embodiment.

KEYWORDS:

aphasia therapy; gesture production; gesture recognition; intelligent tutor system; language instruction; learning; tutor systems

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