Cargando…

Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing

The paper explores and comments on the theoretical concept of human-machine-teaming in intelligent manufacturing. Industrial production is an important area of work applications and should be developed toward a more anthropocentric Industry 4.0/5.0. Teaming is used a design metaphor for human-center...

Descripción completa

Detalles Bibliográficos
Autores principales: Bocklisch, Franziska, Huchler, Norbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655019/
https://www.ncbi.nlm.nih.gov/pubmed/38028669
http://dx.doi.org/10.3389/frai.2023.1247755
_version_ 1785136735477301248
author Bocklisch, Franziska
Huchler, Norbert
author_facet Bocklisch, Franziska
Huchler, Norbert
author_sort Bocklisch, Franziska
collection PubMed
description The paper explores and comments on the theoretical concept of human-machine-teaming in intelligent manufacturing. Industrial production is an important area of work applications and should be developed toward a more anthropocentric Industry 4.0/5.0. Teaming is used a design metaphor for human-centered integration of workers and complex cyber-physical-production systems using artificial intelligence. Concrete algorithmic solutions for technical processes should be based on theoretical concepts. A combination of literature scoping review and commentary was used to identify key characteristics for teaming applicable to the work environment addressed. From the body of literature, five criteria were selected and commented on. Two characteristics seemed particularly promising to guide the development of human-centered artificial intelligence and create tangible benefits in the mid-term: complementarity and shared knowledge/goals. These criteria are outlined with two industrial examples: human-robot-collaboration in assembly and intelligent decision support in thermal spraying. The main objective of the paper is to contribute to the discourse on human-centered artificial intelligence by exploring the theoretical concept of human-machine-teaming from a human-oriented perspective. Future research should focus on the empirical implementation and evaluation of teaming characteristics from different transdisciplinary viewpoints.
format Online
Article
Text
id pubmed-10655019
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-106550192023-11-03 Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing Bocklisch, Franziska Huchler, Norbert Front Artif Intell Artificial Intelligence The paper explores and comments on the theoretical concept of human-machine-teaming in intelligent manufacturing. Industrial production is an important area of work applications and should be developed toward a more anthropocentric Industry 4.0/5.0. Teaming is used a design metaphor for human-centered integration of workers and complex cyber-physical-production systems using artificial intelligence. Concrete algorithmic solutions for technical processes should be based on theoretical concepts. A combination of literature scoping review and commentary was used to identify key characteristics for teaming applicable to the work environment addressed. From the body of literature, five criteria were selected and commented on. Two characteristics seemed particularly promising to guide the development of human-centered artificial intelligence and create tangible benefits in the mid-term: complementarity and shared knowledge/goals. These criteria are outlined with two industrial examples: human-robot-collaboration in assembly and intelligent decision support in thermal spraying. The main objective of the paper is to contribute to the discourse on human-centered artificial intelligence by exploring the theoretical concept of human-machine-teaming from a human-oriented perspective. Future research should focus on the empirical implementation and evaluation of teaming characteristics from different transdisciplinary viewpoints. Frontiers Media S.A. 2023-11-03 /pmc/articles/PMC10655019/ /pubmed/38028669 http://dx.doi.org/10.3389/frai.2023.1247755 Text en Copyright © 2023 Bocklisch and Huchler. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Artificial Intelligence
Bocklisch, Franziska
Huchler, Norbert
Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing
title Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing
title_full Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing
title_fullStr Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing
title_full_unstemmed Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing
title_short Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing
title_sort humans and cyber-physical systems as teammates? characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655019/
https://www.ncbi.nlm.nih.gov/pubmed/38028669
http://dx.doi.org/10.3389/frai.2023.1247755
work_keys_str_mv AT bocklischfranziska humansandcyberphysicalsystemsasteammatescharacteristicsandapplicabilityofthehumanmachineteamingconceptinintelligentmanufacturing
AT huchlernorbert humansandcyberphysicalsystemsasteammatescharacteristicsandapplicabilityofthehumanmachineteamingconceptinintelligentmanufacturing