Pregled bibliografske jedinice broj: 1282314
EEG-BASED COGNITIVE LOAD INDICATORS IN CAD MODELLING TASKS OF VARYING COMPLEXITY
EEG-BASED COGNITIVE LOAD INDICATORS IN CAD MODELLING TASKS OF VARYING COMPLEXITY // Proceedings of the Design Society
Bordeaux, Francuska, 2023. str. 1545-1554 doi:10.1017/pds.2023.155 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
EEG-BASED COGNITIVE LOAD INDICATORS IN CAD MODELLING
TASKS OF VARYING COMPLEXITY
Autori
Lukačević, Fanika ; Becattini, Niccolò ; Škec, Stanko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Design Society
/ - , 2023, 1545-1554
Skup
ICED23
Mjesto i datum
Bordeaux, Francuska, 24.07.2023. - 28.07.2023
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Computer-Aided Design (CAD) ; Cognitive load ; Electroencephalography ; Complexity ; Design cognition
Sažetak
As an initial step towards a better understanding of cognitive load in computer-aided design (CAD), the herein presented study investigated cognitive load imposed on 24 mechanical engineers during two CAD modelling tasks of intentionally different complexity levels. The cognitive load has been rarely studied in the CAD context, which resulted in the lack of understanding if and how the EEG- based indicators available from the literature reflect the changes in cognitive load imposed on engineering designers in CAD activities. Therefore, cognitive load was measured and analysed using three EEG-based indicators to explore insights that might be obtained from them. The initial analysis revealed different cognitive load results from the employed indicators for the same EEG data. In addition, the study implies that the cognitive load results obtained through the used indicators are only partially coherent with the CAD modelling task complexity. Hence, the results imply that the chosen EEG-based indicator matters when measuring and analysing cognitive load in CAD modelling tasks and that its adjustment for CAD context might be needed.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb