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

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          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.

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          Most cited references57

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          A survey on vision-based human action recognition

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            Coming of age: a review of embodiment and the neuroscience of semantics.

            Over the last decade, there has been an increasing body of work that explores whether sensory and motor information is a necessary part of semantic representation and processing. This is the embodiment hypothesis. This paper presents a theoretical review of this work that is intended to be useful for researchers in the neurosciences and neuropsychology. Beginning with a historical perspective, relevant theories are placed on a continuum from strongly embodied to completely unembodied representations. Predictions are derived and neuroscientific and neuropsychological evidence that could support different theories is reviewed; finally, criticisms of embodiment are discussed. We conclude that strongly embodied and completely disembodied theories are not supported, and that the remaining theories agree that semantic representation involves some form of convergence zones (Damasio, 1989) and the activation of modal content. For the future, research must carefully define the boundaries of semantic processing and tackle the representation of abstract entities. Copyright © 2010 Elsevier Srl. All rights reserved.
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              A survey of advances in vision-based human motion capture and analysis

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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                13 June 2018
                2018
                : 9
                : 927
                Affiliations
                [1] 1Information Engineering, Johannes Kepler Universität Linz , Linz, Austria
                [2] 2Neural Mechanisms of Human Communication, Max-Planck-Institut für Kognitions- und Neurowissenschaften , Leipzig, Germany
                [3] 3Linz Center of Mechatronics GmbH , Linz, Austria
                [4] 4Sew Systems Gmbh , Linz, Austria
                Author notes

                Edited by: Amon Rapp, Università degli Studi di Torino, Italy

                Reviewed by: J. Scott Jordan, Illinois State University, United States; John Francis Geiger, Cameron University, United States

                *Correspondence: Manuela Macedonia manuela@ 123456macedonia.at

                This article was submitted to Cognition, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2018.00927
                6008518
                03ba7731-a737-4d95-acfc-bc2198e1b220
                Copyright © 2018 Macedonia, Hammer and Weichselbaum.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 09 November 2017
                : 22 May 2018
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 81, Pages: 6, Words: 5179
                Categories
                Psychology
                Perspective

                Clinical Psychology & Psychiatry
                tutor systems,language instruction,aphasia therapy,intelligent tutor system,gesture production,gesture recognition,learning

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