Guided embodiment and potential applications of tutor systems in language 
instruction and rehabilitation

Macedonia, Manuela; Hammer, Florian; Weichselbaum, Otto

doi:10.3389/fpsyg.2018.00927

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Guided embodiment and potential applications of tutor systems in language instruction and rehabilitation

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Macedonia, Manuela
Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Information Engineering, Johannes Kepler University, Linz, Austria;

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Macedonia, M., Hammer, F., & Weichselbaum, O. (2018). Guided embodiment and potential applications of tutor systems in language instruction and rehabilitation. Frontiers in Psychology, 9: 927. doi:10.3389/fpsyg.2018.00927.

Cite as: https://hdl.handle.net/21.11116/0000-0001-92BC-6

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.