activity
20172026
most citedPolisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning

197 citations · 299 across the 47 of their papers we have counts for

collaborators
Showing cs.HCShow all

7 papers · 1 filter

cs.HC2026

"It's like a pet...but my pet doesn't collect data about me": Multi-person Households' Privacy Design Preferences for Household Robots

Jennica Li, Shirley Zhang, Dakota Sullivan +4

Household robots boasting mobility, more sophisticated sensors, and powerful processing models have become increasingly prevalent in the commercial market. However, these features…

cs.HC2025★ 4 cited

Exploring Families' Use and Mediation of Generative AI: A Multi-User Perspective

Shirley Zhang, Dakota Sullivan, Jennica Li +4

Generative AI (GenAI) platforms, such as ChatGPT, have gained popularity among the public due to their ease of access, use, and support of educational and creative activities. Desp…

cs.HC2025

"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications

Jack West, Bengisu Cagiltay, Shirley Zhang +3

Machine learning models deployed locally on social media applications are used for features, such as face filters which read faces in-real time, and they expose sensitive attribute…

cs.HC2024

Automatically Detecting Online Deceptive Patterns

Asmit Nayak, Shirley Zhang, Yash Wani +2

Deceptive patterns in digital interfaces manipulate users into making unintended decisions, exploiting cognitive biases and psychological vulnerabilities. These patterns have becom…

cs.HC2024

Evaluating the Impact of Warning Modalities and False Alarms in Pedestrian Crossing Alert System

Hesham Alyamani, Yucheng Yang, David Noyce +2

With the steadily increasing pedestrian fatalities, pedestrian safety is a growing concern, especially in urban environments. Advanced Driver Assistance Systems (ADAS) have been de…

cs.HC2024★ 1 cited

I see an IC: A Mixed-Methods Approach to Study Human Problem-Solving Processes in Hardware Reverse Engineering

René Walendy, Markus Weber, Jingjie Li +7

Trust in digital systems depends on secure hardware, often assured through Hardware Reverse Engineering (HRE). This work develops methods for investigating human problem-solving pr…

cs.HC2018★ 1 cited

PowerCut and Obfuscator: An Exploration of the Design Space for Privacy-Preserving Interventions for Voice Assistants

Varun Chandrasekaran, Suman Banerjee, Bilge Mutlu +1

The pervasive use of smart speakers has raised numerous privacy concerns. While work to date provides an understanding of user perceptions of these threats, limited research focuse…