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Using IoT devices for sensor-based monitoring of employees' mental workload : Investigating managers’ expectations and concerns
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In
Applied ergonomics 102(11), Seiten/Artikel-Nr.:103739
2022
Online
DOI: 10.18154/RWTH-2022-02670
DOI: 10.1016/j.apergo.2022.103739
URL: https://publications.rwth-aachen.de/record/842742/files/842742.pdf
Einrichtungen
Projekte
- WS-D.I - Internal Perspective (X080067-WS-D.I) (X080067-WS-D.I)
- WS-B3.I - Long-term Production Management (X080067-WS-B3.I) (X080067-WS-B3.I)
- EXC 2023: Internet of Production (IoP) (390621612) (390621612)
- WorkingAge - Smart Working environments for all Ages (826232) (826232)
Thematische Einordnung (Klassifikation)
DDC: 330
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85126780579
WOS Core Collection: WOS:000860525200011
Interne Identnummern
RWTH-2022-02670
Datensatz-ID: 842742
Beteiligte Länder
Germany
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; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Social and Behavioral Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Social Sciences Citation Index ; Web of Science Core Collection
Record created 2022-03-11, last modified 2025-10-15
OpenAccess:
PDF
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