Author(s): Mercy Wolverton
Mentor(s): Collin Hawley, Honors College
AbstractStudies such as Heinrich and Gerhart‘s found that “while students express concern for their privacy when using mobile devices and express an intent to use additional privacy-enhancing technology, their behavior using mobile device protections does not change, even after an educational intervention” (1). Aivazpour‘s study found that “both the Big Five variables and the impulsivity variables are significant predictors of information disclosure independent of each other” (1). Additionally, research pursues social theories such as the “lemming effect”, investigating how social and peer pressures shaped individuals’ conformity to data-protection norms (Synman et al 1).
However, Synman‘s research has only taken place in Australia (1). Furthermore, the “lemming effect” is not the exclusive social theory to possibly explain the influence of a group on an individual and future research should also be done regarding other social theories (Synman et al 1). My research is dedicated to unraveling the complexities of data privacy behaviors within the broader societal context. Employing a quantitative approach, I utilized a modified Likert scale-type questionnaire, drawing from the Human Aspects of Information Security Questionnaire (HAIS-Q), to gather insights from random GMU students. Through surveys and data analysis, I seek to uncover patterns and predictors of data privacy behaviors, with a particular focus on understanding the enduring ‘Privacy Paradox.’ Preliminary findings suggest a significant disparity between users’ stated concerns about privacy and their actual behaviors, highlighting the need for further exploration into the factors driving this phenomenon.
3 replies on “Privacy Concerns vs Product Desires: Unpacking Big Tech and the User Dilemma”
Excellent job. Your preliminary data is so interesting. I never really thought about peer behavior effects on how careful we are in cyberspace. I look forward to more results.
Hi Mercy. This is a great project. I’ve never heard of the Research Paradox before till learning about your project. I’ve learned so much, great job!
This is a really interesting project, especially knowing that the data was collected from GMU students and learning more about our own population and peers. This is really important work. The connection between the types of data and how peers influence each other is something I don’t think we often think about. Best of luck with your continuation of your project.