A new research paper explores how gender influences privacy behaviors among young users of smart voice assistants (SVAs). The study, which surveyed 469 Canadian youths aged 16-24, utilized multigroup Partial Least Squares Structural Equation Modeling to analyze differences between male and female participants. Findings indicate that perceived privacy risks have a stronger direct impact on privacy protective behavior for males, while algorithmic transparency and trust indirectly influence privacy behavior more strongly for females through privacy self-efficacy. The research also noted lower trust and higher perceived risk among non-binary and prefer-not-to-say participants, suggesting a need for more inclusive data collection in future studies. AI
IMPACT Highlights how user demographics like gender can influence the adoption and use of AI-powered voice assistants, informing design for better privacy controls.
RANK_REASON Academic paper published on arXiv detailing research findings. [lever_c_demoted from research: ic=1 ai=0.7]
- Ajay Shrestha
- Algorithmic Transparency and Trust
- Canada
- Perceived Privacy Benefits
- Perceived Privacy Risks
- Privacy Protective Behavior
- Privacy Self-Efficacy
- smart voice assistants
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