If you're looking for more multimedia interaction and less document interaction, have a look at PEEP, the Processing Easy Eyetracker Plugin. For the latest news, also have a look at the Text 2.0 Twitter Channel.
Below you will find a number of videos and applications that were created with the help of the Text 2.0 Framework and PEEP.
More showcases and explanations can be found in the show case section.
This release contains mainly stability and usability enhancements. Especially the tracking server and the browser plugin are way more robust now and contain many little features that help you to prevent and detect problems. The changes in detail:
This release has been successfully tested with Chrome 13 and Firefox 6.0 on Windows and Mac, Java 7.0, Processing 1.2.1. Higher versions usually also work.
More news can be found in the version history.
Start the tracking server, start the diagnosis to check and calibrate your gaze data and finally run your web app.
If you have any problems, please use the discussion group. Also one of our users, Amit, has set up #text2.0 on irc.freenode.net for real time discussions.
Using the framework is straightforward. First, include all required libs (jquery, jquery.timers and text20 in our case), then execute the core.init() function and start using gaze active handlers like onFixation, onGazeOver and so forth:
Also see the Usage Guide for more information.
The project has been tested on Mac OS (simulator only) and Windows. Linux support untested, but it could work. Results anyone?
(*) Note: Due to its unstable Java-bridge Google Chrome is known to have problems in some versions. In case you encounter ClassNotFound exceptions please try another version / browser (Chrome 15 has problems, 16-beta at time of writing doesn't).
For any web related project, please link to text20.net. If you drop us a message and send us screenshots, we can also put you in the showcase. If you are using our framework for scientific work please cite either:
The Text 2.0 Framework has been created in innumerable hours of work and was redesigned a number of times until we finally considered it to be production-ready. It is built on top of the EyeTracker2Java library created by Georg Buscher and Florian Mittag. Georg was also the person that had the most significant influence on the framework's development through his ideas, suggestions and participation, let alone his influence on the whole Text 2.0 project.
The framework also includes the hard work of Arman Vartan, Thomas Lottermann, Eugen Massini, Andreas Buhl, as well as the suggestions, tips and feedback of many more. Thank you very much!
Kaiserslautern, June 2010 - Ralf Biedert, German Research Center for Artificial Intelligence