Evidence map›Paper›PMID 30618706›Full record

ArticleFrontiers in neurorobotics2018

Feel-Good Robotics: Requirements on Touch for Embodiment in Assistive Robotics.

Philipp Beckerle, Risto Kõiva, Elsa Andrea Kirchner, Robin Bekrater-Bodmann, Strahinja Dosen, Oliver Christ, David A Abbink, Claudio Castellini, Bigna Lenggenhager

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurorobotics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 64 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 9 institutions in 4 countries.

Philipp BeckerleElastic Lightweight Robotics, Department of Electrical Engineering and Information Technology, Robotics Research Institute, Technische Universität Dortmund, Dortmund, Germany.
Risto KõivaNeuroinformatics Group, Center of Excellence Cognitive Interaction Technology, Bielefeld University, Bielefeld, Germany.
Elsa Andrea KirchnerGerman Research Center for Artificial Intelligence, Robotics Innovation Center, Bremen, Germany.
Robin Bekrater-BodmannDepartment of Cognitive and Clinical Neuroscience, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany.
Strahinja DosenDepartment of Health Science and Technology, Faculty of Medicine, Center for Sensory-Motor Interaction, Aalborg University, Aalborg, Denmark.
Oliver ChristSchool of Applied Psychology, Institute Humans in Complex Systems, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.
David A AbbinkDelft Haptics Lab, Department of Cognitive Robotics, Faculty 3mE, Delft University of Technology, Delft, Netherlands.
Claudio CastelliniDLR German Aerospace Center, Institute of Robotics and Mechatronics, Oberpfaffenhofen, Germany.
Bigna LenggenhagerCognitive Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland.
Aalborg University · DKBielefeld University · DECentral Institute of Mental Health · DEDelft University of Technology · NLDeutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) · DEFHNW University of Applied Sciences and Arts · CHTU Dortmund University · DEUniversity of Bremen · DEUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The feeling of embodiment, i.e., experiencing the body as belonging to oneself and being able to integrate objects into one's bodily self-representation, is a key aspect of human self-consciousness and has been shown to importantly shape human cognition. An extension of such feelings toward robots has been argued as being crucial for assistive technologies aiming at restoring, extending, or simulating sensorimotor functions. Empirical and theoretical work illustrates the importance of sensory feedback for the feeling of embodiment and also immersion; we focus on the the perceptual level of touch and the role of tactile feedback in various assistive robotic devices. We critically review how different facets of tactile perception in humans, i.e., affective, social, and self-touch, might influence embodiment. This is particularly important as current assistive robotic devices - such as prostheses, orthoses, exoskeletons, and devices for teleoperation-often limit touch low-density and spatially constrained haptic feedback, i.e., the mere touch sensation linked to an action. Here, we analyze, discuss, and propose how and to what degree tactile feedback might increase the embodiment of certain robotic devices, e.g., prostheses, and the feeling of immersion in human-robot interaction, e.g., in teleoperation. Based on recent findings from cognitive psychology on interactive processes between touch and embodiment, we discuss technical solutions for specific applications, which might be used to enhance embodiment, and facilitate the study of how embodiment might alter human-robot interactions. We postulate that high-density and large surface sensing and stimulation are required to foster embodiment of such assistive devices.

Indexed as

affective touchassistive roboticsembodimenthuman-machine interfacesself-touchsocial touchtactile feedback

Identifiers

PMID30618706
PMCPMC6297195
OpenAlexW2905305602

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.