In operational fields, there is a growing use of simulators during training protocols because of their versatility, the possibility of limiting costs and increasing efficiency. This work aimed at proposing an EEG-based neurometric of mental workload, previously validated in other contexts, as a taxonomic tool to evaluate the similarity, in terms of cognitive demands, of two different systems: the da Vinci surgical system, leader in the field of robotic surgery, and the Actaeon Console by BBZ, basically a cheaper simulator aimed to train students to use the da Vinci system. Such a neurophysiologic evaluation of the workload demand was also integrated by information derived by the task performance and self-reports. The results validated the proposed EEG-based workload index and indicated the potentially fruitful use of simulators because of their high similarity in terms of cognitive demands.

EEG-Based Workload Index as a Taxonomic Tool to Evaluate the Similarity of Different Robot-Assisted Surgery Systems / Di Flumeri, G.; Aricò, P.; Borghini, G.; Sciaraffa, N.; Ronca, V.; Vozzi, A.; Storti, S. F.; Menegaz, G.; Fiorini, P.; Babiloni, F.. - 1107:(2019), pp. 105-117. (Intervento presentato al convegno 3rd International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2019 tenutosi a ita) [10.1007/978-3-030-32423-0_7].

EEG-Based Workload Index as a Taxonomic Tool to Evaluate the Similarity of Different Robot-Assisted Surgery Systems

Di Flumeri G.
Primo
;
Aricò P.;Borghini G.;Sciaraffa N.;Ronca V.;Vozzi A.;Babiloni F.
2019

Abstract

In operational fields, there is a growing use of simulators during training protocols because of their versatility, the possibility of limiting costs and increasing efficiency. This work aimed at proposing an EEG-based neurometric of mental workload, previously validated in other contexts, as a taxonomic tool to evaluate the similarity, in terms of cognitive demands, of two different systems: the da Vinci surgical system, leader in the field of robotic surgery, and the Actaeon Console by BBZ, basically a cheaper simulator aimed to train students to use the da Vinci system. Such a neurophysiologic evaluation of the workload demand was also integrated by information derived by the task performance and self-reports. The results validated the proposed EEG-based workload index and indicated the potentially fruitful use of simulators because of their high similarity in terms of cognitive demands.
2019
3rd International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2019
EEG; Machine-learning; Neurometrics; Robot-assisted surgery; Workload
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
EEG-Based Workload Index as a Taxonomic Tool to Evaluate the Similarity of Different Robot-Assisted Surgery Systems / Di Flumeri, G.; Aricò, P.; Borghini, G.; Sciaraffa, N.; Ronca, V.; Vozzi, A.; Storti, S. F.; Menegaz, G.; Fiorini, P.; Babiloni, F.. - 1107:(2019), pp. 105-117. (Intervento presentato al convegno 3rd International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2019 tenutosi a ita) [10.1007/978-3-030-32423-0_7].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1407335
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