Course Overview
The class is a seminar course on human-centered privacy design and systems. In this class, we will explore the topic of designing and developing privacy-aware digital systems by providing an overview of technical, design, and legal perspectives. Students will learn theoretical frameworks of privacy, privacy design principles, privacy laws, and privacy-enhancing technologies. We will also cover user research methods that are useful for designing and evaluating digital systems that are aware of and respectful to users’ privacy preferences, informed by their lived experiences. In the latter part of this course, we will discuss special topics in human-centered privacy design and system building, including the privacy implications of emerging technologies (e.g., LLM, XR), inclusive privacy design challenges, and engineering support for privacy by design.
Learning Objectives
Privacy issues are becoming a primary concern in the increasingly connected and data-intensive world. This course aims to equip students with the skills and knowledge to manage privacy issues responsibly as researchers and practitioners. Specifically, by taking this course, you are expected to gain:
- Systematic and human-centered approaches to analyzing privacy challenges in digital systems and emerging technologies.
- A skill set for proposing practical solutions to privacy challenges using a combination of human-centered design and technical system building.
- The ability to appreciate, critique, and conduct research at the intersection of HCI and privacy.
Administrivia
Classroom: West Village H (WVH) 166
Time: Monday and Wednesday 2:50-4:30pm
Instructor: Tianshi Li
Office: 177 Huntington Ave, 505
Office Hours: Wednesday 1-2pm
Grading
- 20% Class Participation
- 20% Reading Commentaries
- 20% Discussion Lead
- 40% Project, including
- 5% Project proposal (Due: Sep 25)
- 10% Mid-term Presentation
- 15% Final presentation
- 10% Final project report
Schedule
Additional reading
- “A Taxonomy of Privacy” by Daniel J. Solove
- “Privacy Harms” by Danille Keats Citron and Daniel J. Solove
- Redesigning Privacy with User Feedback: The Case of Zoom Attendee Attention Tracking
- Privacy by Design - Principles of Privacy-Aware Ubiquitous Systems
- Is There a Reverse Privacy Paradox? An Exploratory Analysis of Gaps Between Privacy Perspectives and Privacy-Seeking Behaviors
- The myth of the privacy paradox
- A Design Space for Effective Privacy Notices (SOUPS 2015)
- Ask the Experts: What Should Be on an IoT Privacy and Security Label? (S&P 2020)
- How Usable Are iOS App Privacy Labels?
- Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels
- CONFIDANT: A Privacy Controller for Social Robots
- End-User Privacy in Human–Computer Interaction
- Privacy Norms for Smart Home Personal Assistants
- Towards Understanding Differential Privacy: When Do People Trust Randomized Response Technique? (CHI 2017)
- Taxonomy of Risks posed by Language Models
- The Ethics of Advanced AI Assistants
- Obfuscation: A User’s Guide for Privacy and Protest
- CHKPLUG: Checking GDPR Compliance of WordPress Plugins via Cross-language Code Property Graph (NDSS 2023)
- Privacy-Enhancing Technology and Everyday Augmented Reality: Understanding Bystanders’ Varying Needs for Awareness and Consent
- Privacy as Trust: Information Privacy for an Information Age
- Privacy in Context: Technology, Policy, and the Integrity of Social Life
- Understanding Privacy-Related Advice on Stack Overflow
- Bringing Design to the Privacy Table: Broadening “Design” in “Privacy by Design” Through the Lens of HCI
- Honeysuckle: Annotation-Guided Code Generation of In-App Privacy Notices (UbiComp 2021)