PENENTUAN NILAI AMBANG BATAS BEBAN KERJA MENTAL MENGGUNAKAN GALVANIC SKIN RESPONSE (GSR)
Mental workload needs to be considered in the process of optimizing a system because it significantly affects human performance. One tool to measure mental workload that has proven its sensitivity is Galvanic Skin Response (GSR). Although GSR is sensitive, it does not yet have secure criteria for...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/74416 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Mental workload needs to be considered in the process of optimizing a system
because it significantly affects human performance. One tool to measure mental
workload that has proven its sensitivity is Galvanic Skin Response (GSR). Although
GSR is sensitive, it does not yet have secure criteria for measurement results.
Therefore, this research aims to determine the threshold values for measuring
mental workload using GSR.
The determination of threshold values is based on experimental results involving
50 participants. The experiment involved assigning tasks to the participants and
measuring their mental workload. Three types of tasks were used: search, change
blindness, and counting tasks. The measurement of mental workload was conducted
using a multimethod approach, utilizing performance data, NASA-TLX scores, and
GSR measurements. The experimental data was processed using ANOVA and
Fisher's LSD test.
The established threshold values consist of two variables, namely skin conductance
level (SCL) and skin conductance response amplitude (SCR). The threshold value
for SCL and SCR amplitude is a 28% increase in SCL compared to an individual’s
baseline condition and 5 SCR/minute. Spearman correlation analysis was
performed to determine the appropriate use of the threshold values. The Spearman
correlation coefficient indicates a weak relationship between SCL values and SCR
amplitude. The weak relationship between these two variables emphasizes the need
to consider both variables in measuring mental workload.
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