Eye-tracking studies in financial decision-making – Complete Phd and Masters Thesis

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Introduction:

Eye-tracking technology has become increasingly popular in various fields, including marketing, psychology, and neuroscience. One area where eye-tracking studies have shown great potential is in financial decision-making. Understanding how individuals process financial information and make decisions can provide valuable insights for financial professionals, policymakers, and researchers.

This thesis aims to explore the use of eye-tracking technology in understanding the cognitive processes involved in financial decision-making. By tracking eye movements, researchers can gain insights into how individuals allocate attention, process information, and make decisions in financial contexts. This research has the potential to enhance our understanding of human behavior in financial markets and inform the development of more effective financial communication strategies.

Table of Contents:

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Overview of eye-tracking technology
2.2 Eye-tracking studies in financial decision-making
2.3 Theoretical frameworks for understanding financial decision-making
2.4 Attention and information processing in financial contexts
2.5 Factors influencing financial decision-making
2.6 Eye-tracking measures and metrics
2.7 Previous research on eye-tracking in financial decision-making
2.8 Gaps in the literature
2.9 Summary of literature review
2.10 Hypotheses development

Chapter 3: Research Methodology
3.1 Research design
3.2 Participants
3.3 Stimuli and materials
3.4 Eye-tracking procedure
3.5 Data analysis
3.6 Variables and measures
3.7 Ethical considerations
3.8 Pilot testing
3.9 Validity and reliability
3.10 Limitations of methodology

Chapter 4: Discussion of Findings
4.1 Overview of findings
4.2 Descriptive analysis
4.3 Hypothesis testing
4.4 Interpretation of results
4.5 Implications for financial decision-making
4.6 Comparison with previous research
4.7 Limitations of the study
4.8 Future research directions

Chapter 5: Conclusion and Summary
5.1 Summary of findings
5.2 Contributions to the field
5.3 Practical implications
5.4 Recommendations for future research
5.5 Conclusion

Thesis Overview:

Eye-tracking studies have gained increasing attention in the field of financial decision-making due to their ability to provide valuable insights into the cognitive processes involved in making financial choices. This thesis aims to explore the use of eye-tracking technology in understanding how individuals allocate attention, process information, and make decisions in financial contexts. By tracking eye movements, researchers can gain a deeper understanding of the underlying mechanisms that drive financial decision-making behavior.

The literature review will provide an overview of eye-tracking technology, theoretical frameworks for understanding financial decision-making, attention and information processing in financial contexts, previous research on eye-tracking in financial decision-making, and gaps in the literature. This will serve as the foundation for developing hypotheses and conducting the research.

The research methodology section will detail the design of the study, participant selection, stimuli and materials, eye-tracking procedure, data analysis, variables and measures, ethical considerations, and limitations of the methodology. The discussion of findings will present the results of the study, including descriptive analysis, hypothesis testing, interpretation of results, implications for financial decision-making, comparison with previous research, and future research directions.

In conclusion, this thesis will contribute to the growing body of literature on eye-tracking studies in financial decision-making by providing insights into the cognitive processes involved in financial choices. The findings of this research have the potential to inform financial professionals, policymakers, and researchers on how to improve financial communication strategies and enhance decision-making processes.

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