TY - GEN
T1 - Emotions-aware digital twins for manufacturing
AU - Florea, Anna
AU - Lobov, Andrei
AU - Lanz, Minna
N1 - Publisher Copyright:
© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the FAIM 2021.
PY - 2020
Y1 - 2020
N2 - Digital manufacturing employs different enabling technologies to represent various aspects of product and its manufacturing processes to be able proactively make better, i.e. informative decisions. Digital twins is the recently developed approach to have a representation of a product and/or a manufacturing site in digital space allowing to give feedback and predict development of the product or the system. As human remains widely involved in most aspects of manufacturing, an adequate digital representation of a human contributes to completeness of a digital twin. This article proposes architecture for emotions-aware digital twins. Such architecture would allow human to keep the locus of control by better comprehending, communicating relevant data and promoting situational awareness. This work can contribute to reduction of hazardous situations at the production floor, increase products quality, and facilitate innovation and creativity in design tasks.
AB - Digital manufacturing employs different enabling technologies to represent various aspects of product and its manufacturing processes to be able proactively make better, i.e. informative decisions. Digital twins is the recently developed approach to have a representation of a product and/or a manufacturing site in digital space allowing to give feedback and predict development of the product or the system. As human remains widely involved in most aspects of manufacturing, an adequate digital representation of a human contributes to completeness of a digital twin. This article proposes architecture for emotions-aware digital twins. Such architecture would allow human to keep the locus of control by better comprehending, communicating relevant data and promoting situational awareness. This work can contribute to reduction of hazardous situations at the production floor, increase products quality, and facilitate innovation and creativity in design tasks.
KW - Affective computing
KW - Digital manufacturing
KW - Digital twin
KW - Emotion modelling
KW - Product development
KW - Situational awareness
U2 - 10.1016/j.promfg.2020.10.085
DO - 10.1016/j.promfg.2020.10.085
M3 - Conference contribution
AN - SCOPUS:85099813995
T3 - Procedia Manufacturing
SP - 605
EP - 612
BT - Procedia Manufacturing
T2 - 30th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2021
Y2 - 15 June 2021 through 18 June 2021
ER -