Cited by 106Privacy, Security, and Data ProtectionInnovative Human-Technology InteractionInformation and Cyber Security

It's Creepy, But it Doesn't Bother Me

Phelan, Chanda, Lampe, Cliff, Resnick, Paul·2016·Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Abstract

Undergraduates interviewed about privacy concerns related to online data collection made apparently contradictory statements. The same issue could evoke concern or not in the span of an interview, sometimes even a single sentence. Drawing on dual-process theories from psychology, we argue that some of the apparent contradictions can be resolved if privacy concern is divided into two components we call intuitive concern, a "gut feeling," and considered concern, produced by a weighing of risks and benefits. Consistent with previous explanations of the so-called privacy paradox, we argue that people may express high considered concern when prompted, but in practice act on low intuitive concern without a considered assessment. We also suggest a new explanation: a considered assessment can override an intuitive assessment of high concern without eliminating it. Here, people may choose rationally to accept a privacy risk but still express intuitive concern when prompted.

Integrity signals

Registry

Crossref · 10.1145/2858036.2858381

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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  • The four items of the Perceived Surveillance Scale were developed based on qualitative interviews published by Phelan et al. (2016).

    “These items of the Perceived Surveillance Scale were developed based on qualitative interviews published by Phelan et al. (2016).”

    From The validation of the Perceived Surveillance Scale (2022) · cites this paper as Phelan et al. (2016)

  • Each of the two quotes from Phelan et al. (2016) is reflected in two items of the scale, two using the language directly and two in line with them.

    “Each of these quotes are reflected in two items of the scale, two that used the language of the quotes directly (respectively “watching your every move” and “checking up on you”) and two items that are in line with these first quotes (respectively “looking over your shoulder” and “entering your private space”).”

    From The validation of the Perceived Surveillance Scale (2022) · cites this paper as Phelan et al. (2016)

  • People report that data collection practices give them the feeling of being watched.

    “For example, people report that these data collection practices give them the feeling of being watched (Phelan et al., 2016).”

    From The validation of the Perceived Surveillance Scale (2022) · cites this paper as Phelan et al., 2016

  • Data-driven advertising and surveillance technologies can increase consumers' feelings of being monitored (perceived surveillance).

    “Data-driven advertising and surveillance technologies can increase consumers' feelings of being monitored (i.e., perceived surveillance; Phelan, Lampe, and Resnick 2016;Segijn, Opree, and van Ooijen 2022).”
  • People reported in in-depth interviews that data collection techniques for personalized advertising increased their perceptions of surveillance.

    “Indeed, people reported in in-depth interviews that data collection techniques for personalized advertising increased their perceptions of surveillance (Phelan, Lampe, and Resnick 2016).”

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Authors
Phelan, C., Lampe, C., & Resnick, P.
Affiliations
University of Michigan (US)
Venue
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2016-05-07
Pages
5240-5251
OpenAlex
W2406304972
Cited by
106
References
8
Citations by year
2026: 4 · 2025: 8 · 2024: 4 · 2023: 15 · 2022: 10 · 2021: 15 · 2020: 17 · 2019: 14 · 2018: 9 · 2017: 8 · 2016: 2
FWCI
34.84
Type
conference paper
Language
en
Open access
closed
Locations
CHI Conference on Human Factors in Computing Systems (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
Keywords
privacy concerns, privacy paradox, online data collection, dual-process theory, risk assessment, undergraduate students

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