Bento Browser is a prototype iOS application that helps people organize their complex online searching tasks. By removing the typical tab based structure of the browser and replacing it with a task hierarchy, we let people seamlessly organize, suspend and resume their searching tasks. Check it out on the App Store!
Highlighting can be mentally taxing for learners who are often unsure about how much information they needed to include. We introduce the idea of intentionally uncertain input in the context of highlighting on mobile devices. We present a system that uses force touch and fuzzy bounding boxes to support saving information while users are uncertain about where to highlight.
Many crowd clustering approaches have difficulties providing global context to workers in order to generate meaningful categories. Alloy uses a sample-and-search technique to provide global context, and combines the deep semantic knowledge from human computation and the scalability of machine learning models to create rich structures from unorganized documents with high quality and efficiency
The Knowledge Accelerator (KA) uses crowdworkers to synthesize different information sources on the web in response to a query. We prototyped this system in order to explore crowdsourcing complex, high context tasks in a microtask enviornment. Our system performed quite well, checkout the answers it produced!
Learning new topics online can often be difficult -- even though their might be a wealth of information, it's often structured differently and the terminology used can be different. We utilized crowdworkers to synthesize this diverse information into a cohesive outline that retains the diversity of the original sources, but has a consistent structure.