Automating Contextual Privacy Policies: Design and Evaluation of a Production Tool for Digital Consumer Privacy Awareness

15Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

Abstract

Users avoid engaging with privacy policies because they are lengthy and complex, making it challenging to retrieve relevant information. In response, research proposed contextual privacy policies (CPPs) that embed relevant privacy information directly into their affiliated contexts. To date, CPPs are limited to concept showcases. This work evolves CPPs into a production tool that automatically extracts and displays concise policy information. We first evaluated the technical functionality on the US's 500 most visited websites with 59 participants. Based on our results, we further revised the tool to deploy it in the wild with 11 participants over ten days. We found that our tool is effective at embedding CPP information on websites. Moreover, we found that the tool's usage led to more reflective privacy behavior, making CPPs powerful in helping users understand the consequences of their online activities. We contribute design implications around CPP presentation to inform future systems design.

References Powered by Scopus

Developing and validating trust measures for e-commerce: An integrative typology

3851Citations
N/AReaders
Get full text

Privacy in the digital age: A review of information privacy research in information systems

1047Citations
N/AReaders
Get full text

Privacy by design - Principles of privacy-aware ubiquitous systems

621Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Investigating Tangible Privacy-Preserving Mechanisms for Future Smart Homes

13Citations
N/AReaders
Get full text

Understanding Context to Capture when Reconstructing Meaningful Spaces for Remote Instruction and Connecting in XR

5Citations
N/AReaders
Get full text

Understanding and Mitigating Technology-Facilitated Privacy Violations in the Physical World

5Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Windl, M., Henze, N., Schmidt, A., & Feger, S. S. (2022). Automating Contextual Privacy Policies: Design and Evaluation of a Production Tool for Digital Consumer Privacy Awareness. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3491102.3517688

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

50%

Researcher 4

33%

Professor / Associate Prof. 1

8%

Lecturer / Post doc 1

8%

Readers' Discipline

Tooltip

Computer Science 9

75%

Design 2

17%

Engineering 1

8%

Save time finding and organizing research with Mendeley

Sign up for free