The new Industry 4.0 production paradigm has been determining a big leap ahead regarding human-machine interaction in production systems. To this extent, the introduction of collaborative/cooperative robots (COBOTs) and AR devices in industrial workplaces points out new issues concerning stress assessment in new work contexts also considering the real-time measure of stress levels to drive action on manufacturing activities. This pilot study was developed in view of finding a way to detect in real time the impending stress situation in assembly stations. We analysed stress through the administration of questionnaires and by means of an EEG tool. The sample consisted of 10 university students between 20 and 30 years old, half performed a testing session in stressful environment, while the other half not. The participants were requested to perform two different tasks, one implying only cognitive abilities and one involving also assembly activities in a controlled environment. Results show that both tasks induce comparable stress levels, indicating that it is possible to relate stress levels deriving from cognitive and assembly tasks. Moreover, these results were also used to carry out a first assessment regarding the possibility to adopt real-time EEG systems for stress monitoring.
A framework for real-time stress evaluation in Industry 4.0 manual assembly stations / Capuozzo, A.; Gallo, M.; Grassi, A.; Murino, T.; Popolo, V.; Tedesco, A.. - In: ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS. - ISSN 2283-8996. - 1:(2019), pp. 20-26. (Intervento presentato al convegno 24th Summer School Francesco Turco, 2019 tenutosi a ita nel 2019).
A framework for real-time stress evaluation in Industry 4.0 manual assembly stations
Gallo M.;Grassi A.;Murino T.;Popolo V.
;Tedesco A.
2019
Abstract
The new Industry 4.0 production paradigm has been determining a big leap ahead regarding human-machine interaction in production systems. To this extent, the introduction of collaborative/cooperative robots (COBOTs) and AR devices in industrial workplaces points out new issues concerning stress assessment in new work contexts also considering the real-time measure of stress levels to drive action on manufacturing activities. This pilot study was developed in view of finding a way to detect in real time the impending stress situation in assembly stations. We analysed stress through the administration of questionnaires and by means of an EEG tool. The sample consisted of 10 university students between 20 and 30 years old, half performed a testing session in stressful environment, while the other half not. The participants were requested to perform two different tasks, one implying only cognitive abilities and one involving also assembly activities in a controlled environment. Results show that both tasks induce comparable stress levels, indicating that it is possible to relate stress levels deriving from cognitive and assembly tasks. Moreover, these results were also used to carry out a first assessment regarding the possibility to adopt real-time EEG systems for stress monitoring.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
