Study: Transparent Communication About Data Privacy Can Effectively Reduce the Feeling of Intrusiveness
A new study has found that transparent communication about data privacy can significantly reduce the feeling of intrusiveness, particularly for users who have a lower trust in algorithms.
The research was conducted by Yuan Sun, assistant professor of advertising at the University of Florida College of Journalism and Communications; Jason Freeman, assistant professor at Brigham Young University; Heather Shoenberger, associate professor at Penn State; and Fuyuan Shen, professor and chair of advertising/public relations at Penn State.
The study, “To Tell or Not to Tell: Investigating the Persuasive Appeal of Information Transparency for AR-Powered E-Commerce Sites,” was published May 8 in the International Journal of Human-Computer Interaction.
The authors investigated how disclosing data collection affects consumer perceptions in augmented reality (AR)-powered e-commerce sites. They found that while these sites can enhance perceived immersion and usefulness, they are also perceived as more intrusive by consumers.
According to the authors, “This study advances our understanding of AR-powered personalization in e-commerce by examining both its benefits and privacy implications through the lens of Privacy Calculus Theory. This research contributes to both theory and practice by providing a comprehensive framework for understanding privacy dynamics in AR environments and offering actionable strategies for implementing privacy-conscious AR experiences.”
These findings are particularly timely as organizations increasingly adopt AR technology while navigating evolving privacy expectations.
Category: AI at CJC News, College News, Trust News
Tagged: Advertising AI AR Intenational Journal of Human-Computer Interaction Yuan Sun
Subscribe to our News Digest
