Bachelorarbeit, 2019
41 Seiten
This thesis investigates the measurement of cognitive load during writing tasks using galvanic skin response (GSR). The study aims to understand the relationship between GSR signals and cognitive load, particularly for writing tasks.
Chapter 1 introduces the research topic, outlining the objectives, background, motivation, and thesis layout. Chapter 2 provides a comprehensive literature review on cognitive load and GSR, exploring previous research and findings in the field. Chapter 3 focuses on the concept of cognitive load, explaining its different types and their relevance to learning and task performance. Chapter 4 delves into the principles of galvanic skin response, its physiological mechanisms, and its application in cognitive load assessment. Chapter 5 describes the data collection process, including the tasks used, apparatus employed, and software used for data acquisition. Chapter 6 details the analysis of GSR data, outlining the methods used to extract relevant features from the signals and interpret their significance. Chapter 7 explores the use of analysis of variance (ANOVA) tests for examining the relationship between cognitive load and GSR data. Chapter 8 presents the experimental results and discussion of findings, analyzing the data and drawing conclusions from the study. The chapter focuses on the relationship between cognitive load and GSR, considering both time and frequency domain features.
The research focuses on cognitive load, galvanic skin response, writing tasks, data analysis, ANOVA tests, time domain features, and frequency domain features. The study explores the use of GSR as a measure of cognitive load during writing tasks, investigating the relationship between GSR signals and cognitive load. The research utilizes ANOVA tests to analyze the data and draw conclusions about the findings.
GSR refers to changes in sweat gland activity that reflect the intensity of our emotional state, often used as a marker for cognitive load.
The research determined that cognitive load is proportional to task difficulty: as difficulty increases, cognitive load also increases.
The three types are intrinsic load (task complexity), extraneous load (instructional design), and germane load (processing/schema construction).
The study utilized a QS222 GSR Sensor, Labquest Mini, and Logger Pro Software to capture physiological data during writing tasks.
The study employed Analysis of Variance (ANOVA) tests, including One-Way and Two-Way ANOVA, to examine the relationship between GSR and cognitive load.
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