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- research-articleSeptember 2023
Designing Alternative Form-Autocompletion Tools to Enhance Privacy Decision-making and Prevent Unintended Disclosure
ACM Transactions on Computer-Human Interaction (TOCHI), Volume 30, Issue 6Article No.: 91, Pages 1–42https://doi.org/10.1145/3610366Modern Web browsers provide users with tools to reduce the burden of filling out forms. Despite the widespread adoption of these tools, little is known about how they affect users’ privacy decision-making. This research compares traditional form ...
- research-articleSeptember 2023
A privacy calculus model for contact tracing apps: Analyzing the use behavior of the German Corona-Warn-App with a longitudinal user study
AbstractThe SARS-CoV-2 pandemic is a pressing societal issue today. The German government promotes a contract tracing app named Corona-Warn-App (CWA), aiming to change citizens’ health behaviors during the pandemic by raising awareness about potential ...
- review-articleJuly 2023
How do people make decisions in disclosing personal information in tourism group recommendations in competitive versus cooperative conditions?
User Modeling and User-Adapted Interaction (KLU-USER), Volume 34, Issue 3Pages 549–581https://doi.org/10.1007/s11257-023-09375-wAbstractWhen deciding where to visit next while traveling in a group, people have to make a trade-off in an interactive group recommender system between (a) disclosing their personal information to explain and support their arguments about what places to ...
- research-articleOctober 2022
Information Privacy Assimilation in IT Organizations
Information Systems Frontiers (KLU-ISFI), Volume 24, Issue 5Pages 1497–1513https://doi.org/10.1007/s10796-021-10158-0AbstractInformation privacy concerns have been rising over a few decades. As per the recent General Data Protection Regulation, organizations need to implement the highest-possible privacy settings by design and default. Following the neo-institutional ...
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- research-articleNovember 2021
The effects of different personal data categories on information privacy concern and disclosure
AbstractThe potential threats of exposing personal data associated with online services have been a reason for concern, and individuals as customers may decline to disclose their data due to trust issues. Literature has shown evidence that ...
- research-articleNovember 2021
An efficient perturbation approach for multivariate data in sensitive and reliable data mining
Journal of Information Security and Applications (JISA), Volume 62, Issue Chttps://doi.org/10.1016/j.jisa.2021.102954AbstractDue to the rapid enhancement of technology, cloud data is increasing rapidly which contains individuals’ sensitive information such as medical diagnostics reports. While extracting knowledge from those sensitive data, both privacy of individuals’ ...
- ArticleSeptember 2021
Towards an Information Privacy and Personal Data Protection Competency Model for Citizens
Trust, Privacy and Security in Digital BusinessPages 112–125https://doi.org/10.1007/978-3-030-86586-3_8AbstractThis paper aims to investigate the competencies that citizens should hold to protect own information privacy and personal data. Based on conceptual analysis, this study examines theoretical frameworks on competency models (e.g., the Iceberg ...
- research-articleAugust 2021
Why free does not mean fair: Investigating users’ distributive equity perceptions of data-driven services
International Journal of Information Management: The Journal for Information Professionals (IJIM), Volume 59, Issue Chttps://doi.org/10.1016/j.ijinfomgt.2021.102333Highlights- Validation of a new distributive equity scale for free data-driven services.
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Individuals are supposed to perform a privacy risk-benefit analysis when deciding to transact with a free data-driven service provider. Building on equity theory, this article suggests that users incorporate the net value for providers ...
- research-articleMay 2021
To Disclose or Not to Disclose: Examining the Privacy Decision-Making Processes of Older vs. Younger Adults
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing SystemsArticle No.: 686, Pages 1–14https://doi.org/10.1145/3411764.3445204To understand the underlying process of users’ information disclosure decisions, scholars often use either the privacy calculus framework or refer to heuristic shortcuts. It is unclear whether the decision process varies by age. Therefore, using these ...
- research-articleMay 2021
Examining the privacy paradox through individuals’ neural disposition in e-commerce: An exploratory neuroimaging study
AbstractDespite individuals expressing concerns for the privacy of their personal information, they act contrarily by disclosing their personal information in e-commerce transactions. This phenomenon of contradictory privacy-related decisions ...
- ArticleDecember 2020
Designing Effective Privacy Nudges in Digital Environments: A Design Science Research Approach: Research-in-Progress
Designing for Digital Transformation. Co-Creating Services with Citizens and IndustryPages 388–393https://doi.org/10.1007/978-3-030-64823-7_37AbstractWhen using digital technologies, various data traces are left behind for collection, storage and analysis. Innovative solutions for information systems are needed that mitigate privacy risks and foster information privacy. One mechanism to achieve ...
- research-articleFebruary 2020
Engagement in proactive recommendations: The role of recommendation accuracy, information privacy concerns and personality traits
Journal of Intelligent Information Systems (JIIS), Volume 54, Issue 1Pages 79–100https://doi.org/10.1007/s10844-018-0529-0AbstractThe present research explored to what extent user engagement in proactive recommendation scenarios is influenced by the accuracy of recommendations, concerns with information privacy, and trait personality. We hypothesized that people’s self-...
- ArticleJuly 2019
The Privacy Paradox in HCI: Calculus Behavior in Disclosing PII Online
HCI in Business, Government and Organizations. Information Systems and AnalyticsPages 163–177https://doi.org/10.1007/978-3-030-22338-0_13AbstractThe Privacy Paradox is an information privacy behavioral phenomenon wherein individuals are aware that the personally identifiable information (PII) they disclose in an online transaction may be compromised, yet disclose it nonetheless. One ...
- research-articleJuly 2019
Falsifying and withholding: exploring individuals’ contextual privacy-related decision-making
Information and Management (IMAN), Volume 56, Issue 5Pages 696–717https://doi.org/10.1016/j.im.2018.11.004AbstractAs firms rely increasingly on “big data” to segment and target current and potential customers, the challenge of data falsification—individuals providing incorrect personal data in response to requests—is becoming a significant ...
- research-articleJune 2019
Internet users’ perceptions of information sensitivity – insights from Germany
International Journal of Information Management: The Journal for Information Professionals (IJIM), Volume 46, Issue CPages 142–150https://doi.org/10.1016/j.ijinfomgt.2018.11.018Highlights- An empirically derived cartography of the perceived information sensitivity of 40 different data types.
With the ever-increasing collection of user data, online privacy becomes an urgent matter for users and research across borders. The perception of information sensitivity is central to privacy attitudes and behaviors in different usage ...
- research-articleJune 2019
On the regulation of personal data distribution in online advertising platforms
Engineering Applications of Artificial Intelligence (EAAI), Volume 82, Issue CPages 13–29https://doi.org/10.1016/j.engappai.2019.03.013AbstractOnline tracking is the key enabling technology of modern online advertising. In the recently established model of real-time bidding (RTB), the web pages tracked by ad platforms are shared with advertising agencies (also called DSPs), ...
Highlights- We reveal an abuse by ad agencies whereby user-tracking data is acquired at no cost.
- research-articleMay 2019
Privacy Enhancing Technologies implementation: An investigation of its impact on work processes and employee perception
Telematics and Informatics (TINF), Volume 38, Issue CPages 13–29https://doi.org/10.1016/j.tele.2019.01.002Highlights- This paper examines the effect of the PETs implementation on employees’ work processes and their perception toward the implementation.
With increasing consumer awareness towards information privacy and government-enforced regulations on data protection, organizations are implementing Privacy Enhancing Technologies (PETs) to provide systematic protection on consumers’ ...
- research-articleFebruary 2019
Innovative Citizen’s Services through Public Cloud in Pakistan: User’s Privacy Concerns and Impacts on Adoption
- Umar Ali,
- Amjad Mehmood,
- Muhammad Faran Majeed,
- Siraj Muhammad,
- Muhammad Kamal Khan,
- Houbing Song,
- Khalid Mahmood Malik
Mobile Networks and Applications (MNET), Volume 24, Issue 1Pages 47–68https://doi.org/10.1007/s11036-018-1132-xAbstractThe world is going to be more and more digital with effective utilization of information and communication technologies in government services to provide services to their citizens. In developing countries, public cloud is now considered a ...
- research-articleJanuary 2019
A Survey on Facebook Users and Information Privacy
Procedia Computer Science (PROCS), Volume 164, Issue CPages 39–47https://doi.org/10.1016/j.procs.2019.12.152AbstractThis paper investigates how Facebook users perceive information privacy against the benefits of being a member. Inspired by the privacy calculus model, we created a Norwegian online survey (n=188) in spring 2018 and offer the following insights: ...