---
res:
  bibo_abstract:
  - Smart cities promise safer streets, smoother traffic, and more efficient services,
    enabled by dense networks of urban sensors. Yet this infrastructure, often unnoticed
    by citizens, introduces pervasive privacy risks, from tracking, profiling, and
    sensitive inferences to subtle forms of self-censorship. Despite widespread deployment,
    little is known about how the public understands and perceives these sensing systems.
    To address this gap, we present an intervention based user study (n = 172) in
    which participants are exposed to data collection by six urban sensors, including
    cameras and alternative technologies commonly framed as privacy-preserving. Participants
    encounter either the sensors alone or sensors accompanied by real-time data visualizations.
    Our results reveal widespread misunderstanding of some sensors (radar, LiDAR,
    Wi-Fi, depth, and thermal imaging sensors), particularly their capacity for identification
    and for attribute inferences such as gender or age. We also identify persistent
    misconceptions, including the belief that Wi-Fi poses privacy risks only when
    users connect to public networks. While making sensors visible and visualizing
    collected data improves privacy awareness, these measures alone are not enough
    for citizens to understand the actual risks of urban sensing. We derive recommendations
    for privacy-respecting smart city environments grounded in citizens’ informational
    needs and expectations.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Julian
      foaf_name: Todt, Julian
      foaf_surname: Todt
  - foaf_Person:
      foaf_givenName: Emiram
      foaf_name: Kablo, Emiram
      foaf_surname: Kablo
      foaf_workInfoHomepage: http://www.librecat.org/personId=46433
  - foaf_Person:
      foaf_givenName: Felix
      foaf_name: Morsbach, Felix
      foaf_surname: Morsbach
  - foaf_Person:
      foaf_givenName: Patricia
      foaf_name: Arias Cabarcos, Patricia
      foaf_surname: Arias Cabarcos
      foaf_workInfoHomepage: http://www.librecat.org/personId=92804
  - foaf_Person:
      foaf_givenName: Thorsten
      foaf_name: Strufe, Thorsten
      foaf_surname: Strufe
  bibo_doi: 10.56553/popets-2026-0108
  bibo_issue: '4'
  bibo_volume: 2026
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2299-0984
  dct_language: eng
  dct_publisher: Privacy Enhancing Technologies Symposium Advisory Board@
  dct_title: '“The city isn’t uploading me to TikTok”: Exploring Privacy Attitudes
    towards Data Collection in Urban Public Spaces@'
...
