Human-AI Interaction

Inclusive AI

Inclusive AI Sponsored by OpenAI, the goal of the "Inclusive AI" project is to effectively engage underserved populations in democratic decision-making processes about AI system design and governance.

Emotion AI

Emotion AI Prof. Yun Huang is leading a collaborative NSF project on designing and evaluating emotion AI for ability-diverse learners, including the Deaf and Hard-of-Hearing (DHH) community.

Exceptional Edu

Exceptional Education Prof. Yun Huang is a co-investigator of a NSF AI institute project on creating advanced artificial intelligence systems that address this critical problem, allowing for earlier diagnoses and tailored interventions that close educational gaps and create more inclusive learning environments where children thrive both academically and socially.

Privacy and Security

Accessible Authentication

(Prof. Yang Wang) Authentication (e.g., logging into a website) is an integral part of web user experience. However, this seemingly mundane task poses many challenges for people with disabilities. This project aims to build novel authentication mechanisms that are accessible and privacy-preserving. The research team has conducted a preliminary study, exploring the experiences that people with disabilities have when using authentication systems. We are also building an accessible authentication framework with various authentication mechanisms. We benefit from constructive feedback from colleagues such as Prof. Joon Park (iSchool) and Prof. Kevin Du (EECS).


Internet of Things (e.g., drones)

(Prof. Yang Wang) Emerging technologies such as Internet of Things (e.g., wearable devices, smart home appliances, and drones) are enabling exciting and innovative applications that can benefit people and society. However, they also raise important privacy and security questions. This project aims to unpact these privacy and security challenges as well as to design mechanisms in addressing these challenges. Prof. Wang has discussed this topic at the US Federal Trade Commission. Our work on drones is in part supported by DJI and an internal grant by Syracuse University.


Privacy Mirror

(Prof. Yang Wang) This project aims to provide ordinary Internet users transparency and control in different application domains (e.g., online tracking / behavioral advertising and Android app permissions). Specifically, this project will investigate two main ideas: individualized mental models of privacy, and a universal privacy dashboard. Prof. Wang has discussed this topic at the US Federal Trade Commission. This research is in part supported by National Science Foundation.


Privacy Nudges

(Prof. Yang Wang and the Privacy Nudge Team at CMU) Anecdotal evidence and scholarly research have shown that Internet users may regret some of their online disclosures. To help individuals avoid such regrets, this project explores a "soft-paternalistic" approach. We designed mechanisms that nudge users to consider the content and audience of their online disclosures more carefully. An ongoing investigation is when to invoke such nudging mechanisms.


Past Projects

Tiramisu (Transit Information System)

(Tiramisu Team at Carnegie Mellon University and Prof. Yun Huang) Tiramisu is a mobile transit information system, where crowdsourcing technique is applied to provide real-time transit information for bus riders. Prof. Yun Huang has been working on the Tiramisu project since 2010 when she was a postdoc at Carnegie Mellon University. She has been continuing her research with the team at CMU after joining iSchool at Syracuse University.