Previous research has largely focused on statistical associations between loop box spending and problem gambling scores, focusing primarily on youth groups who are actively engaging in gambling-like systems and how those systems affect their gambling behaviour while still in their youth. While these studies provide valuable quantitative evidence, there is less research exploring how individuals remember their early exposure to these systems and how their perceptions of these systems changed their perspective or behaviour in gambling. What we hope to achieve is more retrospective data showing how they interpret their gaming experiences after reaching adulthood, and how that may have shaped attitudes towards spending, gambling, and game design later in life. We also hope to provide a more ethical dimension of these mechanics, examine how players themselves interpret the fairness, transparency, and responsibility surrounding these systems.
This study contributes to existing research by examining how multiple personalit traits interact to influence motivation and procrastination aross a diverse poppulation, including both students and non-students. While previous research often focuses on single traits or populations this study aims to provide a more comprehensive understanding of how these factors work together to shape behavior.
Understanding the development of adult behavior requires examining the complex interaction between biological predispositions and environmental influences. Although genetic traits such as impulsiveness or emotional reactivity may increase vulnerability to certain behavioral outcomes, these predispositions are not without environmental context. Family environment, socioeconomic status, and peer influence may either amplify or mitigate biological risk factors, yet the mechanisms through which these variables interact remain less understood. The problem addressed in this study is the lack of clarity regarding how environmental factors shape the genetic predispositions in adult behavioral outcomes.
For this research project the main objective was to better understand the divide between people by understanding the ‘why’ to how they perceive the world. Because we are in a situation where people consistently exaggerate differences, stereotype anyone who doesn’t agree with them and throws words around without fully understanding the meaning of. This research seeks to understand the underlying causes to how people understand language and ideas.
As artificial intelligence becomes increasingly integrated into professional and academic environments, questions about fairness, accountability, transparency, and regulation have become more urgent. While existing research explores AI literacy, trust, professional implementation, and theoretical ethical concerns, fewer studies directly examine how the general public evaluates specific ethical issues such as disclosure requirements, bias, data privacy, job security, productivity impacts, and responsibility for harm.
