Usability Evaluation on an Affective Mobile Platform Based on Social Computing

Abstract

In recent years, people's impression of web2.0 has been changed by many social networking rising abruptly, especially Facebook. It has become the most popular site for most of the Internet users. Facebook's CEO, Mark Zuckerberg, has also announced that there are over five-hundred million members visit Facebook for a day. It means many people use Facebook to socialize with their friends. With Facebook's graffiti wall, you can post news, photos, or favorite links. By pressing the "like" or replying message on your graffiti wall , you can easily know there are many of your friends concerned about you. But only through the content which was published on the graffiti wall is difficult to find out users' emotions. So, if we can build an affective social computing platform on Facebook, analyzing and evaluating the contents what user posted on their graffiti wall, sending the relevant emotion result let user's friends know, it may help them understand what is user's emotion easily ,and this may help your friends know what is your situation recently that they can have some corresponding to you, and this behavior is what we want to see. We hope to use this platform to help improving you and your friends' friendship. This study is focus on three major as following: (1)Using Internet to have Community and interaction .(2) How to build a platform combining affective computing on Facebook(identify symbols including text and voice), then let users decide whether update their emotion status on Facebook's graffiti wall or not.(3) Setting up our platform on mobile device. Such as: Android, IPhone...etc. We use Android smartphone in this project.