18 citations
23 papers
Privacy by Voice: Modeling Youth Privacy-Protective Behavior in Smart Voice Assistants
Molly Campbell, Ajay Kumar Shrestha
Smart Voice Assistants (SVAs) are deeply embedded in the lives of youth, yet the mechanisms driving the privacy-protective behaviors among young users remain poorly understood. Thi…
Gender-Based Heterogeneity in Youth Privacy-Protective Behavior for Smart Voice Assistants: Evidence from Multigroup PLS-SEM
Molly Campbell, Yulia Bobkova, Ajay Kumar Shrestha
This paper investigates how gender shapes privacy decision-making in youth smart voice assistant (SVA) ecosystems. Using survey data from 469 Canadian youths aged 16-24, we apply m…
Toward Youth-Centered Privacy-by-Design in Smart Devices: A Systematic Review
Molly Campbell, Mohamad Sheikho Al Jasem, Ajay Kumar Shrestha
This literature review evaluates privacy-by-design frameworks, tools, and policies intended to protect youth in AI-enabled smart devices using a PRISMA-guided workflow. Sources fro…
Balancing Usability and Compliance in AI Smart Devices: A Privacy-by-Design Audit of Google Home, Alexa, and Siri
Trevor De Clark, Yulia Bobkova, Ajay Kumar Shrestha
This paper investigates the privacy and usability of AI-enabled smart devices commonly used by youth, focusing on Google Home Mini, Amazon Alexa, and Apple Siri. While these device…
Convenience vs. Control: A Qualitative Study of Youth Privacy with Smart Voice Assistants
Molly Campbell, Trevor De Clark, Mohamad Sheikho Al Jasem +2
Smart voice assistants (SVAs) are embedded in the daily lives of youth, yet their privacy controls often remain opaque and difficult to manage. Through five semi-structured focus g…
Trust-Based Incentive Mechanisms in Semi-Decentralized Federated Learning Systems
Ajay Kumar Shrestha
In federated learning (FL), decentralized model training allows multi-ple participants to collaboratively improve a shared machine learning model without exchanging raw data. Howev…