Internet of Skills

Research output: Contribution to book/Conference proceedings/Anthology/ReportChapter in book/Anthology/ReportContributed

Abstract

The Internet of Skills aims at investigating how Tactile Internet with Human-in-the-Loop (TaHiL) technology can contribute to offer skill sets and expert capabilities to anybody, even at the most remote and diverse geographical regions. It will provide immersive training to laypersons (children, adults, and seniors) with or without physical or cognitive limitations to promote the learning of skills. This chapter provides an overview of the main issues that need to be addressed when humans and cyber-physical system interactions are designed and tools are developed to promote skill learning. The state of the art and the challenges to be tackled with regard to learning, technical, and design issues are presented. In collaboration with the target primary research field of humans presented in Chapter 9, the key technology challenge of intelligent networks presented in Chapter 6 and of haptic learning presented in Chapter 8, the latest technology innovations and knowledge will be implemented in developing skill learning programs that can be adapted to address factors, needs, and goals of specific individuals.

Details

Original languageEnglish
Title of host publicationTactile Internet: with Human-in-the-Loop
EditorsFrank H.P. Fitzek, Shu-Chen Li, Stefanie Speidel, Thorsten Strufe, Meryem Simsek, Martin Reisslein
Place of PublicationLondon
Chapter4
Pages75-99
Number of pages25
ISBN (electronic)9780128213438
Publication statusPublished - Jan 2021
Peer-reviewedNo

External IDs

Scopus 85119255043
ORCID /0000-0001-7698-9095/work/142245205
ORCID /0000-0001-7033-7870/work/145223039
ORCID /0000-0002-4280-6534/work/145224706
ORCID /0009-0001-4069-3062/work/145224713
ORCID /0000-0003-2862-9196/work/145224857
Mendeley 5884a624-bcb5-3933-ba77-8428ce1b54c5

Keywords

ASJC Scopus subject areas

Keywords

  • tactile internet, User-centered design, Augmented feedback, Skill acquisition, Digital learning, Motor learning