Award Abstract # 1640697
EAGER: Collaborative: Mapping Privacy and Surveillance Dynamics in Emerging Mobile Ecosystems: Practices and Contexts in the Netherlands and US

NSF Org: CNS
Division Of Computer and Network Systems
Awardee:
Initial Amendment Date: September 1, 2016
Latest Amendment Date: July 29, 2018
Award Number: 1640697
Award Instrument: Standard Grant
Program Manager: Nina Amla
CNS
 Division Of Computer and Network Systems
CSE
 Direct For Computer & Info Scie & Enginr
Start Date: September 15, 2016
End Date: August 31, 2019 (Estimated)
Total Intended Award Amount:
Total Awarded Amount to Date: $106,765.00
Funds Obligated to Date:
History of Investigator:
  • Michael  Zimmer (Principal Investigator)
    michael.zimmer@marquette.edu
Awardee Sponsored Research Office: University of Wisconsin-Milwaukee
P O BOX 340  Milwaukee,
WI
 US  53201-0340
(414)229-4853
Sponsor Congressional District:
Primary Place of Performance:
Primary Place of Performance
Congressional District:
DUNS ID:
Parent DUNS ID:
NSF Program(s): Secure &Trustworthy Cyberspace
Primary Program Source:
Program Reference Code(s): 022Z, 025Z, 7434, 7916, 8225, 9102
Program Element Code(s): 8060
Award Agency Code:
Fund Agency Code:
CFDA Number(s):

ABSTRACT

The increasing ubiquity of mobile technologies creates unique privacy and surveillance challenges for users. These problems are global, but the way users, organizations, and governments approach these challenges varies based on cultural norms around privacy. This cross-cultural project evaluates how mobile users in the U.S. and the Netherlands think about and make decisions about their privacy when using mobile apps. The project's primary goal is to inform both ways of thinking about privacy in the digital age and practical implementations that pertain to the digital self, with an emphasis on tensions between privacy, disclosure, mobility and surveillance. Furthermore, this study highlights privacy practices across different legal and cultural frameworks, providing important implications for broad-based policy decisions.

In collaboration with researchers at Erasmus University in the Netherlands, this project has three phases. Phase 1 develops a preliminary understanding of privacy awareness and practices across three emerging mobile ecosystems: health and fitness tracking (e.g., Fitbit), mobile messaging apps (e.g., Whatsapp), and intelligent digital personal assistants (e.g., Siri). Building on these findings, Phase 2 involves cross-cultural data collection and analysis using privacy vignettes, which allows for identification and comparison of individuals' privacy norms across contexts and cultures. Phase 3 focuses on dissemination of findings to key stakeholders and policymakers, and building an international working group of researchers active in this space. The focus on unpacking how privacy is conceptualized and implemented across two countries with very different cultural conceptions of privacy expands our understanding of the contextual nature of mobile privacy "enabling an extension of Helen Nissenbaum's work on privacy as contextual integrity" while also providing practical implications for researchers and designers employing a Privacy by Design framework.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Vitak, J. and Liao, Y. and Kumar, P. and Zimmer, M. and Kritikos, K. "Privacy attitudes and data valuation among fitness tracker users" Lecture notes in computer science , v.10766 , 2018 10.1007/978-3-319-78105-1_27 Citation Details
Wu, Philip Fei and Vitak, Jessica and Zimmer, Michael T. "A contextual approach to information privacy research" Journal of the Association for Information Science and Technology , 2019 10.1002/asi.24232 Citation Details
Pridmore, Jason and Zimmer, Michael and Vitak, Jessica and Mols, Anouk and Trottier, Daniel and Kumar, Priya C. and Liao, Yuting "Intelligent Personal Assistants and the Intercultural Negotiations of Dataveillance in Platformed Households" Surveillance & Society , v.17 , 2019 10.24908/ss.v17i1/2.12936 Citation Details
Liao, Y. and Vitak, J. and Kumar, P. and Zimmer, M. and Kritikos, K. "Understanding the role of privacy and trust in intelligent personal assistant adoption" Proceedings of the 13th Annual iConference, Lecture Notes in Computer Science , v.11420 , 2019 10.1007/978-3-030-15742-5_9 Citation Details
Zimmer, Michael and Kumar, Priya and Vitak, Jessica and Liao, Yuting and Chamberlain Kritikos, Katie "?There?s nothing really they can do with this information?: unpacking how users manage privacy boundaries for personal fitness information" Information, Communication & Society , 2018 10.1080/1369118X.2018.1543442 Citation Details

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