Cited by 7Privacy, Security, and Data ProtectionMobile Crowdsensing and CrowdsourcingPrivacy-Preserving Technologies in Data

FlashPolling privacy: the discrepancy of intention and action in location-based poll participation

Poikela, Maija, Schmidt, Robert, Wechsung, Ina, Möller, Sebastian·2015·Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15

Abstract

Predicting users' behaviour from attitudes and intentions provides inexpensive means for studying behaviour on a large scale. The underlying assumption for this is that intention correlates with behaviour. However, recent privacy literature questions the assumption that there is such a correlation. With this paper, we add to the debate by presenting a study comparing intention and behaviour using a location-based mobile participation application. We find no correlation between hypothetical and actual participation, but find that intention to participate differs from actual participation both by frequency and by what the participants (state that they would) participate in. We also find that the most prominent reason for not installing the app and participating in the field study seems to have been privacy concern.

Integrity signals

Registry

Crossref · 10.1145/2800835.2804402

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12 of 12 references verified0 citation errors · 0 not checkable

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Authors
Poikela, M., Schmidt, R., Wechsung, I., & Möller, S.
Affiliations
Technische Universität Berlin (DE)
Venue
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15
Publisher
ACM Press
Published
2015
Pages
813-818
OpenAlex
W2033147418
Cited by
7
References
12
Citations by year
2022: 1 · 2021: 1 · 2020: 2 · 2019: 1 · 2017: 1 · 2016: 1
FWCI
2.43
Type
conference paper
Language
en
Open access
closed
Locations
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
Keywords
privacy concerns, intention-behavior gap, location-based services, user participation, fieldwork

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