61 citations · 114 across the 12 of their papers we have counts for
12 papers
Experimental Evidence for Using a TTM Stages of Change Model in Boosting Progress Toward 2FA Adoption
Cori Faklaris, Laura Dabbish, Jason I. Hong
Behavior change ideas from health psychology can also help boost end user compliance with security recommendations, such as adopting two-factor authentication (2FA). Our research a…
Do They Accept or Resist Cybersecurity Measures? Development and Validation of the 13-Item Security Attitude Inventory (SA-13)
Cori Faklaris, Laura Dabbish, Jason I. Hong
We present SA-13, the 13-item Security Attitude inventory. We develop and validate this assessment of cybersecurity attitudes by conducting an exploratory factor analysis, confirma…
Analysis of Longitudinal Changes in Privacy Behavior of Android Applications
Alexander Yu, Yuvraj Agarwal, Jason I. Hong
Privacy concerns have long been expressed around smart devices, and the concerns around Android apps have been studied by many past works. Over the past 10 years, we have crawled a…
Travel Guides for Creative Tourists, Powered by Geotagged Social Media
Dan Tasse, Jason I. Hong
Many modern tourists want to know about everyday life and spend time like a local in a new city. Current tools and guides typically provide them with lists of sights to see, which…
Sensor as a Company: On Self-Sustaining IoT Commons
Haojian Jin, Swarun Kumar, Jason I. Hong
Beyond the "smart home" and "smart enterprise", the Internet of Things (IoT) revolution is creating "smart communities", where shared IoT devices collectively benefit a large numbe…
Identifying Terms and Conditions Important to Consumers using Crowdsourcing
Xingyu Liu, Annabel Sun, Jason I. Hong
Terms and conditions (T&Cs) are pervasive on the web and often contain important information for consumers, but are rarely read. Previous research has explored methods to surface a…
Discovering and Validating AI Errors With Crowdsourced Failure Reports
Ángel Alexander Cabrera, Abraham J. Druck, Jason I. Hong +1
AI systems can fail to learn important behaviors, leading to real-world issues like safety concerns and biases. Discovering these systematic failures often requires significant dev…
The Design of the User Interfaces for Privacy Enhancements for Android
Jason I. Hong, Yuvraj Agarwal, Matt Fredrikson +22
We present the design and design rationale for the user interfaces for Privacy Enhancements for Android (PE for Android). These UIs are built around two core ideas, namely that dev…
Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps
Tianshi Li, Jackie, Yang +5
Contact-tracing apps have potential benefits in helping health authorities to act swiftly to halt the spread of COVID-19. However, their effectiveness is heavily dependent on their…
Enhancing Email Functionality using Late Bound Content
Haojian Jin, Vita Chen, Ritwik Rajendra +1
Email is one of the most successful computer applications yet devised. Communication features in email, however, have remained relatively static in years. We investigate one way of…
Automated Extraction of Personal Knowledge from Smartphone Push Notifications
Yuanchun Li, Ziyue Yang, Yao Guo +3
Personalized services are in need of a rich and powerful personal knowledge base, i.e. a knowledge base containing information about the user. This paper proposes an approach to ex…
PrivacyProxy: Leveraging Crowdsourcing and In Situ Traffic Analysis to Detect and Mitigate Information Leakage
Gaurav Srivastava, Kunal Bhuwalka, Swarup Kumar Sahoo +5
Many smartphone apps transmit personally identifiable information (PII), often without the users knowledge. To address this issue, we present PrivacyProxy, a system that monitors o…