Postupak prikupljanja podatkovnog skupa za razvoj modela strojnog učenja za procjenu kognitivnog opterećenja

undergraduate thesis

• Title (english): Data set collection procedure for the development of machine learning models for cognitive load estimation
• Author: Vid Juraj Ivković
• Mentor: Siniša Popović (mentor)
• Mentor: Krešimir Ćosić (komentor)
• Committee member: Ivica Smojver (predsjednik povjerenstva)
• Committee member: Siniša Popović (član povjerenstva)
• Committee member: Krešimir Ćosić (član povjerenstva)
• Granter: University of Zagreb; (Croatian Defence Academy "Dr. Franjo Tuđman"); Zagreb
• Defense date and country: 2023-09-13, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Security and Defense Science
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Interdisciplinary Technical Sciences

Abstract

Ovaj rad bavi se provedbom zadataka koji se odnose na sposobnosti višezadaćnog rada u
standardnom programu OpenMATB uz testiranje kognitivnog opterećenja sudionika. Rad
opisuje sučelje OpenMATB-a i popratne datoteke potrebne za pokretanje ovog programa,
zadavanje testnih scenarija i analizu podataka prikupljenih OpenMATB-om. Također se opisuju
različiti načini mjerenja kognitivnog opterećenja, a posebice subjektivna metoda Instantaneous
Self-Assessment (ISA) koja se koristi u okviru ovog rada. Opisana je metodologija prikupljanja
podatkovnog skupa vezanog uz procjenu kognitivnog opterećenja na OpenMATB-u u okviru dva
scenarija različitih težina. Podatkovni skup uključuje subjektivne iskaze sudionika periodički
prikupljane metodom ISA tijekom provedbe OpenMATB-ovih scenarija, kao i izlazne datoteke
OpenMATB-a koje sadrže snimljene podatke potrebne za izračun mjera performansi. Statistička
analiza rezultata na prikupljenom preliminarnom podatkovnom skupu provedena je pomoću
programa Python i Excel. Daljnji rad na rafiniranju i proširivanju ove metodologije i
podatkovnog skupa može imati potencijala za budući razvoj modela strojnog učenja u svrhu
procjene kognitivnog opterećenja na OpenMATB-u.

Abstract (english)

This paper focuses on the execution of tasks related to multitasking capabilities in the standard
OpenMATB program while testing participants' cognitive load. The paper describes the
OpenMATB interface and the accompanying files required to run this program, set up test
scenarios, and analyze data collected by OpenMATB. It also discusses various methods of
measuring cognitive load, especially the subjective Instantaneous Self-Assessment (ISA) method
used in this study. The methodology for collecting a dataset related to the assessment of
cognitive load on OpenMATB in two different difficulty scenarios is outlined. The dataset
includes participants' subjective reports collected periodically using the ISA method during the
execution of OpenMATB scenarios, as well as OpenMATB output files containing recorded data
necessary for performance measures calculation. Statistical analysis of the preliminary dataset
was conducted using Python and Excel. Further work on refining and expanding this
methodology and dataset has the potential for future development of machine learning models
for assessing cognitive load in OpenMATB.

• Keywords: OpenMATB; kognitivno opterećenje; metoda ISA; performanse
• Keywords (english): OpenMATB; cognitive workload; ISA method; performance
• Language: croatian
• URN:NBN: urn:nbn:hr:249:498766
• Study programme: Title: Military Engineering; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica inženjer/inženjerka vojnog inženjerstva (sveučilišni/a prvostupnik/ prvostupnica inženjer/inženjerka vojnog inženjerstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2024-01-12 07:27:54