Hello again everyone. Sorry for the downtime that you may have experienced while trying to find www.wubble-world.com. Our lab has moved from the Information Sciences Institute to the University of Arizona. We are all excited to begin working again so look for more updates to wubble world in the coming months.
Recently the jMonkeyEngine team presented at the JavaOne conference. The Wubble World project was included in the video since we use the jMonkeyEngine as the core of our game. Thanks for publicity and great engine guys!
You can view additional information here.
Do you have spare time? Would you like to help a PhD student get his degree? Please take a few minutes to fill out a survey online.
The basic thrust of the research is developing a mapping between emotional state and gaze behaviors in order to produce a procedural model of gaze which can be used to display the emotional state of animated characters in dynamic environments. – Brent Lance
The survey can be found here:
http://sadhappy.isi.edu/survey
More information about the research can be found here:
http://www.isi.edu/~brent/research.html
Thanks for helping!
Everyone we are sorry. We recently began a move of the website to our fabulous new server. Unfortunately a member of the team (Wes) forgot to backup all of the previous posts of the website. Luckily we aren’t very avid bloggers and there were only 5 previous posts. As time progresses you will see the Wubble World website return to its full glory.
Thanks for visiting!
(Play!) Get ready world, because here comes the latest and greatest release of Wubble World. We are polishing the game getting it ready to come out in beta status.
This year was a good year for the Wubble World team at the 2nd annual ISD Graduate Student Symposium.
- Best Paper: Wesley Kerr – Training AI Using Video Games
- Best Presentation: Wesley Kerr – Training AI Using Video Games
- Best Paper Runner-Up: Daniel Hewlett and Shane Hoversten – In search of deep semantics with Sheep
Wubble World was discussed on AiGameDev.com based on our paper presented at AIIDE’07. The blog entry can be seen here.
Our second paper was accepted and published in the proceedings of International Conference on Development and Learning (ICDL’07). This paper is a compilation of a series of experiments ran on untrained wubbles to explore how long it takes a wubble to learn a concept as well as a second set of experiments to explore what concepts can be learned. (pdf)
Our first paper was accepted for publication at the Artificial Intelligence and Interactive Digital Entertainment (AIIDE’07) conference. This paper that provides an overview of Wubble World as well as the current and future goals of the project. (pdf)