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Pregled bibliografske jedinice broj: 1282314

EEG-BASED COGNITIVE LOAD INDICATORS IN CAD MODELLING TASKS OF VARYING COMPLEXITY


Lukačević, Fanika; Becattini, Niccolò; Škec, Stanko
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

Profili:

Avatar Url Stanko Škec (autor)

Avatar Url Fanika Lukačević (autor)

Poveznice na cjeloviti tekst rada:

doi www.cambridge.org

Citiraj ovu publikaciju:

Lukačević, Fanika; Becattini, Niccolò; Škec, Stanko
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)
Lukačević, F., Becattini, N. & Škec, S. (2023) EEG-BASED COGNITIVE LOAD INDICATORS IN CAD MODELLING TASKS OF VARYING COMPLEXITY. U: Proceedings of the Design Society doi:10.1017/pds.2023.155.
@article{article, author = {Luka\v{c}evi\'{c}, Fanika and Becattini, Niccol\`{o} and \v{S}kec, Stanko}, year = {2023}, pages = {1545-1554}, DOI = {10.1017/pds.2023.155}, keywords = {Computer-Aided Design (CAD), Cognitive load, Electroencephalography, Complexity, Design cognition}, doi = {10.1017/pds.2023.155}, title = {EEG-BASED COGNITIVE LOAD INDICATORS IN CAD MODELLING TASKS OF VARYING COMPLEXITY}, keyword = {Computer-Aided Design (CAD), Cognitive load, Electroencephalography, Complexity, Design cognition}, publisherplace = {Bordeaux, Francuska} }
@article{article, author = {Luka\v{c}evi\'{c}, Fanika and Becattini, Niccol\`{o} and \v{S}kec, Stanko}, year = {2023}, pages = {1545-1554}, DOI = {10.1017/pds.2023.155}, keywords = {Computer-Aided Design (CAD), Cognitive load, Electroencephalography, Complexity, Design cognition}, doi = {10.1017/pds.2023.155}, title = {EEG-BASED COGNITIVE LOAD INDICATORS IN CAD MODELLING TASKS OF VARYING COMPLEXITY}, keyword = {Computer-Aided Design (CAD), Cognitive load, Electroencephalography, Complexity, Design cognition}, publisherplace = {Bordeaux, Francuska} }

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