Self-powered Paper Interfaces (SPIN) combining folding paper creases with triboelectric nanogenerator (TENG). Embedding TENG into paper creases, we developed a design editor and set of fabrication techniques to create paper-based interfaces that power sensors and actuators.
This study will seek to understand diverse stakeholders' perspectives in AI research and their collaboration and conflicts in the research process. More specifically, we will conduct a case study of the THRIVE project that aims to create novel AI technologies to support mental health patients
Today the public has become increasingly aware of the health impacts of a sedentary lifestyle. Sedentary behavior research continues to uncover the detrimental effects of sitting and has shown that the average American now sits during the day more than the time they spend sleeping. Activity trackers have reflected this shift in public awareness by beginning to track standing as well as the typical health metrics, like steps. The most prominent example of this is the Apple Watch with its Activity rings - the last ring is for stand hours.
Star Wars Escape is an escape room experience that an in a morally-challenging twist. Interactors first start off in a sci-fi-themed jail cell with a potential friend to be found -- or built.
Compete in an immersive steam punk environment hot-air-balloon race against your arch nemesis using a custom VR controller. The evil nemesis has sabotaged your balloon and stolen your robot, now you must work against the odds to keep your balloon afloat, save your robot, and prove you are the best inventor in Mountaintown! This game makes use of a specialized controller that combines a familiar motion with pressure sensitive pump to provide realtime feedback and a deeper immersive experience.
Dimensionality reduction (DR) is often used for exploring the evolution patterns of a collection of dynamic ego-networks. However, DR often lacks flexibility: as analysts' questions evolve during data exploration, the low-dimensional projection remains static, limiting the depth of exploration. To address the inflexibility of DR, we designed a data transformation pipeline which enables analysts to transform dynamic ego-networks into event sequences for steering MDS to create different scatterplots of dynamic ego-networks.
A second-screen companion app to support viewers in following a densely populated storyworld, with prototype based on the FX Series Justified.
StrangVR Things is a VR prototype that crafts an immersive and engaging experience within the narrative world of Netflix's original series, Stranger Things. The user takes on the role of Eleven and must escape a hostile environment by leveraging her telekinetic powers. Our design aims to allow show viewers to explore the dangers of the Stranger Things world through Eleven's eyes and endow viewers with the same mysterious powers.
Preparing for a CS technical interview indicates self-regulated learning activities like goal setting and systematic knowledge reviewing. Existing platforms typically support massive problem practices with less reflective affordance. Notably, the approach could incur extraneous cognitive load when the interview is imminent. Since note-taking is a learning strategy with prominent cognitive benefits in deeper processing and external storage function, we design a light weight tool that converts personal notes into self-testing options to enable an effective but less stressful preparation method.
Conversations with employees and volunteers at the Proctor Creek Stewardship Council in Atlanta, GA revealed that contamination in urban creeks is a major problem. This is especially an issue when neighborhoods sit along sections of the creek that get contaminated and dumped in. Most often, this happens in lower-income neighborhoods where many residents are unaware of trash/recycling guidelines, the local government doesn't feel accountable for the residents, and local businesses view the area as grounds for dumping.
Starting this summer, the Atlanta Streetcar began using a real-time dispatching method developed at Georgia Tech that eliminates the need for schedules and cuts down on passenger wait times. School of Civil and Environmental Engineering Assistant Professor Kari Watkins and Ph.D student Simon Berrebi developed an algorithm that ensures each vehicle is spaced evenly along the 2.7 mile route in downtown Atlanta, maximizing the frequency of service. Unlike the previous method, the Georgia Tech algorithm uses real-time information.
The StudentLife project has been developing ways to combine multiple streams of data about student habits into meaningful holistic analyses of individual's well-being. Communicating those results to a student population poses a challenge to provide information in a legible form and provide meaningful and helpful, and importantly not harmful, feedback to enable students to improve their well-being.
We have designed and evaluated a Clinician-directed Capture and Access system that can enable (1) parents to easily collect clinician-prescribed in-home behavior specimens(video evidence of behaviors) that have clinical utility, and (2) clinical experts to conduct diagnostic assessment for autism based on parent-collected in-home behavior specimens. Currently, in collaboration with an autism center, a clinical trial is being conducted to validate this remote autism diagnostic model on a larger scale.
Can locative media (Augmented and Mixed Reality, web applications, and social networking) serve as a platform for preservation of cultural heritage, informal education, and civic engagement? This is the question at the heart of the Auburn Avenue Research Project, a project that brings together researchers from a variety of disciplines – including media theory, design studies, and human-computer interaction – to engage the above question in theory and practice.
Self-sustainable Water Leak Detection System for Buildings