mlsanityData to 14 Oct 2026

Convenience vs. Control: A Qualitative Study of Youth Privacy with Smart Voice Assistants

arXiv 2601.04399 ↗First posted 7 Jan 2026cs.CY cs.AI cs.HCcited by 2

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Abstract (arXiv)

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 groups (N=26) with young Canadians (ages 16-24), we investigate how perceived privacy risks (PPR) and benefits (PPBf) intersect with algorithmic transparency and trust (ATT) and privacy self-efficacy (PSE) to shape privacy-protective behaviors (PPB). Our analysis reveals that policy overload, fragmented settings, and unclear data retention undermine self-efficacy and discourage protective actions. Conversely, simple transparency cues were associated with greater confidence without diminishing the utility of hands-free tasks and entertainment. We synthesize these findings into a qualitative model in which transparency friction erodes PSE, which in turn weakens PPB. From this model, we derive actionable design guidance for SVAs, including a unified privacy hub, plain-language "data nutrition" labels, clear retention defaults, and device-conditional micro-tutorials. This work foregrounds youth perspectives and offers a path for SVA governance and design that empowers young digital citizens while preserving convenience.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 5 of its 30 references that are in the map. First posted on arXiv 7 Jan 2026.

Builds on

5 of 30 references.

References · 5

  1. 2020Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influencecited by 27
  2. 2018We Value Your Privacy ... Now Take Some Cookies: Measuring the GDPR's Impact on Web Privacycited by 15
  3. 2025Privacy Ethics Alignment in AI: A Stakeholder-Centric Framework for Ethical AIcited by 5
  4. 2015Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analyticscited by 4
  5. 2025Covert Surveillance in Smart Devices: A SCOUR Framework Analysis of Youth Privacy Implicationscited by 3

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Citing papers per year: 2026: 2.

2 papers.