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      Exploring the Embodiment of a Virtual Hand in a Spatially Augmented Respiratory Biofeedback Setting

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          Abstract

          Enhancing the embodiment of artificial limbs—the individuals' feeling that a virtual or robotic limb is integrated in their own body scheme—is an impactful strategy for improving prosthetic technology acceptance and human-machine interaction. Most studies so far focused on visuo-tactile strategies to empower the embodiment processes. However, novel approaches could emerge from self-regulation techniques able to change the psychophysiological conditions of an individual. Accordingly, this pilot study investigates the effects of a self-regulated breathing exercise on the processes of body ownership underlying the embodiment of a virtual right hand within a Spatially Augmented Respiratory Biofeedback (SARB) setting. This investigation also aims at evaluating the feasibility of the breathing exercise enabled by a low-cost SARB implementation designed for upcoming remote studies (a need emerged during the COVID-19 pandemic). Twenty-two subjects without impairments, and two transradial prosthesis users for a preparatory test, were asked (in each condition of a within-group design) to maintain a normal (about 14 breaths/min) or slow (about 6 breaths/min) respiratory rate to keep a static virtual right hand “visible” on a screen. Meanwhile, a computer-generated sphere moved from left to right toward the virtual hand during each trial (1 min) of 16. If the participant's breathing rate was within the target (slow or normal) range, a visuo-tactile event was triggered by the sphere passing under the virtual hand (the subjects observed it shaking while they perceived a vibratory feedback generated by a smartphone). Our results—mainly based on questionnaire scores and proprioceptive drift—highlight that the slow breathing condition induced higher embodiment than the normal one. This preliminary study reveals the feasibility and potential of a novel psychophysiological training strategy to enhance the embodiment of artificial limbs. Future studies are needed to further investigate mechanisms, efficacy and generalizability of the SARB techniques in training a bionic limb embodiment.

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Rubber hands 'feel' touch that eyes see.

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              The Multidimensional Assessment of Interoceptive Awareness (MAIA)

              This paper describes the development of a multidimensional self-report measure of interoceptive body awareness. The systematic mixed-methods process involved reviewing the current literature, specifying a multidimensional conceptual framework, evaluating prior instruments, developing items, and analyzing focus group responses to scale items by instructors and patients of body awareness-enhancing therapies. Following refinement by cognitive testing, items were field-tested in students and instructors of mind-body approaches. Final item selection was achieved by submitting the field test data to an iterative process using multiple validation methods, including exploratory cluster and confirmatory factor analyses, comparison between known groups, and correlations with established measures of related constructs. The resulting 32-item multidimensional instrument assesses eight concepts. The psychometric properties of these final scales suggest that the Multidimensional Assessment of Interoceptive Awareness (MAIA) may serve as a starting point for research and further collaborative refinement.
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                Author and article information

                Contributors
                Journal
                Front Neurorobot
                Front Neurorobot
                Front. Neurorobot.
                Frontiers in Neurorobotics
                Frontiers Media S.A.
                1662-5218
                27 August 2021
                2021
                : 15
                : 683653
                Affiliations
                [1] 1Rehab Technologies, Istituto Italiano di Tecnologia , Genoa, Italy
                [2] 2Department of Informatics, Bioengineering, Robotics, and Systems Engineering, Università degli Studi di Genova , Genoa, Italy
                [3] 3Movement Biomechanics and Motor Control Lab, Department of Electronics, Information and Bioengineering, Politecnico di Milano , Milan, Italy
                [4] 4Center for Health Sciences, SRI International , Menlo Park, CA, United States
                [5] 5Visual Geometry and Modelling, Istituto Italiano di Tecnologia , Genoa, Italy
                [6] 6International Research Center for Cognitive Applied Neuroscience, Università Cattolica del Sacro Cuore , Milan, Italy
                [7] 7Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore , Milan, Italy
                [8] 8Advanced Robotics, Istituto Italiano di Tecnologia , Genoa, Italy
                [9] 9Centro Protesi INAIL, Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro , Bologna, Italy
                Author notes

                Edited by: Strahinja Dosen, Aalborg University, Denmark

                Reviewed by: Iolanda Pisotta, Santa Lucia Foundation (IRCCS), Italy; Michele Scandola, University of Verona, Italy

                *Correspondence: Giacinto Barresi giacinto.barresi@ 123456iit.it
                Article
                10.3389/fnbot.2021.683653
                8454775
                34557082
                4c283055-a5b1-402c-902c-61d2eee30d22
                Copyright © 2021 Barresi, Marinelli, Caserta, de Zambotti, Tessadori, Angioletti, Boccardo, Freddolini, Mazzanti, Deshpande, Frigo, Balconi, Gruppioni, Laffranchi and De Michieli.

                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(s) 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
                : 21 March 2021
                : 26 July 2021
                Page count
                Figures: 7, Tables: 3, Equations: 3, References: 97, Pages: 17, Words: 13435
                Categories
                Neuroscience
                Original Research

                Robotics
                embodiment,augmented reality,prosthetics,biofeedback,training,breathing
                Robotics
                embodiment, augmented reality, prosthetics, biofeedback, training, breathing

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