In the United States, 62% of bankruptcies were a result of medical costs. Recently, patients and their families have raised substantial sums to defray their out-of-pocket medical costs using online crowdfunding sites such as GoFundMe. However, little is known what makes potential donors trust these campaigns and decide to donate money. Thus, we explore current practices in assessing the credibility of medical crowdfunding campaigns and further uncover who the patient's supporters are, what support they provide, and why.
More and more people are collecting, organizing, and interpreting health data in everyday lives. People collect heart rate data during exercise, and even electrodermal activity data to help detect the onset of seizures. Analyzing physiological data, however, and relating it to specific behaviors or events, is challenging. We identify challenges in analyzing physiological and behavior data, and present BEDA, an analytics tool we developed to mitigate the challenges. BEDA integrates scripts written in MATLAB or R, and incorporate machine learning algorithms to highlight behaviors associated with physiological data.
Social reminder interfaces on social networking sites (SNSs), such as Facebook birthday reminder, make sending a congratulatory message easier than ever. However, the lower cost in time and effort can also devalue a simple message, and one-click congratulations may be criticized as impersonal. Nevertheless, they are still widely used. We investigate how people find value in short congratulatory birthday messages on Facebook despite the criticism.
What happens to young adults with autism when they live away from their parents? SocialMirror is an interactive display connected to an online social network that allows the young adult to seek advice from a trusted and responsive network of family, friends and professionals. Focus group discussions reveal the potential for SocialMirror to increase motivation to learn everyday life skills among young adults with autism and to foster collaboration among a distributed care network.
How do people know the appropriate ways of behaving in different situations? How do you know that you are supposed to pay for your food before you sit down at a fast food restaurant, but not until after you have eaten at other restaurants? We use human computation to develop complex models of social scripts for complex and interesting social scenarios, possible obstacles, and potential solutions to those obstacles.