Editorial: NeuroHaptics: From Human Touch to Neuroscience

A challenge in conventional studies is the reliance on subjective self-report assessments, limiting the generalizability of the conclusions and increasing the uncertainty, variability, and susceptibility of the assessments to cognitive, memory, and communication barriers, and increasing the sensitiv...

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Published in:	Frontiers in neuroscience Vol. 16; p. 964014
Main Authors:	Park, Wanjoo, Kim, Laehyun, Ball, Tonio, Atashzar, S. Farokh
Format:	Journal Article
Language:	English
Published:	Lausanne Frontiers Research Foundation 25-07-2022 Frontiers Media S.A
Subjects:	Artificial intelligence brain-computer interface Cognitive ability Conflicts of interest EEG Electroencephalography Haptics haptics in AR/VR Information processing Lasers motor rehabilitation Nervous system Neural networks Neuroscience Neurosciences tactile communication tactile perception New York United Arab Emirates United States > US Abu Dhabi United Arab Emirates
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Summary:	A challenge in conventional studies is the reliance on subjective self-report assessments, limiting the generalizability of the conclusions and increasing the uncertainty, variability, and susceptibility of the assessments to cognitive, memory, and communication barriers, and increasing the sensitivity to the timing of answer collection. [...]taking advantage of the novel objective assessment of neural circuitry, more recent efforts are focused on processing central neural responses to shed light on the neurophysiology of haptics and to better understand the functionality of the human nervous system related to haptics. Recently, VR environments have been used for conducting a wide range of neuroscientific studies. [...]it is necessary to consider the electromagnetic interference of digital devices such as HMDs on EEG signal. Funding This work was supported in part by the Institute of Information & Communications Technology Planning & Evaluation (IITP), funded by the Korean government (MSIT) (Grant No. 2017- 000432), the NYUAD Center for Artificial Intelligence and Robotics (CAIR), funded by Tamkeen under the NYUAD Research Institute Award # CG010, US National Science Foundation, Award #: 2037878, and BrainLinks-BrainTools EXC1086.
Bibliography:	SourceType-Other Sources-1 content type line 63 ObjectType-Editorial-2 ObjectType-Commentary-1 Edited and reviewed by: Birgitta Dresp-Langley, Centre National de la Recherche Scientifique (CNRS), France This article was submitted to Perception Science, a section of the journal Frontiers in Neuroscience
ISSN:	1662-453X 1662-4548 1662-453X
DOI:	10.3389/fnins.2022.964014