Crowdsourcing
CAN (Composable Accessiblity Infrastructure)
(Prof. Yun Huang) This project is to develop a lightweight utility infrastructure, CAN (Composable Accessibility Infrastructure), where software developers share their functional modules and website or mobile app developers can easily find and integrate suitable accessibility modules into their sites or apps. We benefit from constructive feedback from our collaborators Prof. Jeffrey P. Bigham and Prof Aaron Steinfeld at Carnegie Mellon University. This project is funded by NIDILRR.
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DPS (Public Safety)
(Prof. Yun Huang, Prof. Corey White, Prof. Yang Wang) This project explores ways to improve public safety of a local community by using open crime data and crowdsourcing. This project is funded by NSF.
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Indoor Map
(Prof. Yun Huang) This project aims to create colocation technologies that can improve awareness about and potential uses of nearby facilities, resources and services to enhance learning on university campuses. This project is funded by Google.
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(Prof. Yun Huang, Prof. R. David Lankes, and Prof. Jian Qin) This project tries to develop a framework of crowdsourcing humans knowledge and allows people to become part of the library resources similar to books. The hypothesis is that librarians are the central hub of a local community, and can weave together expertise from communities. We collaborated with local libraries and designed a system to help promote their community-oriented events, e.g. human library. This project is sponsored by Institute of Museum and Library Services.
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Emotion Map (Community Happiness)
(Prof. Yun Huang) This project understands how increased awareness of self-emotions and local community emotions can help people implement different emotion regulation strategies via designing, implementing and evaluating a mobile social app, called Emotion Map.
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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).
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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.
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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.
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Mobile Social Systems
(Prof. Yang Wang and Prof. Yun Huang)
As mobile social systems such as WhatsApp and WeChat gaining adoption worldwide, how people interact and socialize on these platforms has become important questions for research.
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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.
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Related 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.
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