Research opportunities for students at the HCII

Eliciting and visualizing themes and categories from large datasets is of critical importance to a number of fields, but is often a time-intensive process undertaken by a sole expert. Imagine a consumer trying to understand the different reporting of political candidates, a business synthesizing feedback on products, or an academic analyzing ethnographic data.

Across HCI and social computing platforms we have seen the rapid emergence and adoption of mobile applications to empower non-experts to explore, measure, and share data about their world from blooming flowers to air quality.

Interested in how kids learn with technology? Get involved in two exciting projects! The first is a study of educational games that teach physics to young children. The second project is about teaching kids to design experiments using contrasting examples.

We have a job opening for an undergraduate research programmer in the NSF SCALE project on ultra-large scale collaboration in software development. Undergraduates in Computer Science or Information Systems with web development and/or UI programming experience would be most suited for and interested in this job.

We are looking for undergraduate research assistants to help run experiments and analyze data this summer in our research project on information sharing. Undergraduates with an interest or background in psychology and experimental design would be most suited for and interested in this job.

We have a job opening for an undergraduate research programmer in our project on visualizing crowd sourced workflows. Undergraduates in Computer Science or Information Systems with web development and/or UI programming experience would be most suited for and interested in this job.

Orders of magnitude more people read Wikipedia articles than contribute to them. Wikipedia imposes technical and cultural barriers that make it difficult for newcomers to contribute.

LiveHoods is a project that looks at analyzing what people do in a city, at a large scale. We have over 18 million check-ins from foursquare and are using clustering algorithms to help us understand neighborhoods. You can see our current web site at livehoods.org.

A surprising number of Android and iPhone apps have behaviors close to spyware. We have two separate projects here.

One is to combine automated scanning techniques with human crowdsourcing, to understand the behavior of Android apps and summarize the privacy and security behaviors of those apps.

We’re looking for people with skills in Android programming to help here.

The basic idea behind Chelada is to always show useful information when you look at your mobile phone, based on time, location, weather, and activity.