My PhD research engaged the design and evaluation of novel data-driven systems aimed at increasing algorithmic transparency, preventing privacy violations, and building trust. I'm particularly interested in how to enable users to understand and control data practices in the age of ubiquitous computing, inferences, and automated decisions.

My work mostly lies at the intersection of Human–Computer Interaction (HCI), Ubiquitous Computing (UbiComp), and machine learning, but I have also worked on authentication, accessibility, and people-nearby applications. My doctoral advisor was Prof. Yang Wang.

I enjoy building things. I've built apps for the web, mobile, and VR. During my PhD, I did research internships at Facebook, Airbnb, and Figure Eight (f.k.a. CrowdFlower). In the past, I competed in web design/development contests and organized a civic hackathon. I enjoy running, traveling, sci-fi movies and books, and (almost) all kinds of games.

My published works tend to be novel systems, frameworks, and models around topics of user privacy, data ethics, trust, and accessibility. My work has been published at CHI, WWW, UbiComp, SOUPS, and PETS.

1. Who Am I? A Design Probe Exploring Real-Time Transparency About Online and Offline User Profiling Underlying Targeted Ads [To Appear]
   N.M. Barbosa, G. Wang, B. Ur, Y. Wang | IMWUT 2021 (UbiComp)


2. WebAlly: Making Visual Task-based CAPTCHAs Transferable for People with Visual Impairments [pdf]
   Z. Zhang, Z. Zhang, H. Yuan, N.M. Barbosa, S. Das, Y. Wang | SOUPS 2021 [26% acceptance rate]


3. Do Privacy and Security Matter to Everyone? Quantifying and Clustering User-Centric Considerations About Smart Home Device Adoption [pdf]
   N.M. Barbosa, Z. Zhang, Y. Wang | SOUPS 2020 [20% acceptance rate]


4. Designing for Trust: A Behavioral Framework for Sharing Economy Platforms [pdf]
   N.M. Barbosa, E. Sun, J. Antin, P. Parigi | WWW 2020 [19% acceptance rate]


5. "What if?" Predicting Individual Users’ Smart Home Privacy Preferences and Their Changes [pdf]
   N.M. Barbosa, J. Park, Y. Yao, Y. Wang | PETS 2019 [18% acceptance rate]


6. Rehumanized Crowdsourcing: A Labeling Framework Addressing Bias and Ethics in Machine Learning [pdf]
   N.M. Barbosa, M. Chen | CHI 2019 [24% acceptance rate]


7. UniPass: Design and Evaluation of a Smart Device-Based Password Manager for Visually Impaired Users [pdf]
   N.M. Barbosa, J. Hayes, Y. Wang | UbiComp 2016 [23% acceptance rate]


8. CAN: Composable Accessibility Infrastructure via Data-Driven Crowdsourcing [pdf]
   Y. Huang, B. Dobreski, B.B. Deo, J. Xin, N.M. Barbosa, Y. Wang, J.P. Bigham | W4A 2015 [35% acceptance rate]


9. Strategies: An Inclusive Authentication Framework [pdf]
   N.M. Barbosa | ASSETS 2014 [Silver Medal - Undergraduate Student Research Competition]

Some of my inventions in grad school and internships have been patented:

1. Intent-oriented browsing [application]
   N.M. Barbosa, Y. Wang


2. Framework for adjusting contributor profile in collecting data labels [application]
   N.M. Barbosa, M. Chen, J. Prendki


3. Website authentication using an internet-connected device [granted]
   N.M. Barbosa, Y. Wang