ELIA (Eye-gaze Language Integration Analysis) - eye-tracking for psycholinguistics
Description
ELIA supports the analysis of eye-tracking data for studies in language processing. It is an open-source application that allows for rapid integration of gaze data with spoken language input, that can be either live or prerecorded. ELIA supports the transformation and analysis of data from live-speaker manipulations, as well as production studies, by allowing the experimenter to add a spreadsheet with the timing values for spoken words and integrating these times into subsequent analyses.It has object-oriented design and is platform independent. ELIA has two main components: Visual-Attention Framework and the ELIA user interface.
Advantages of ELIA are:
- Reduces the amount of time spent preparing raw eye-tracking data for analysis
- Allows for the quick analysis of pilot data in order to identify issues with experimental design or with particular subjects
- Uses and produces standard output files (like.cvs)
URL:
- https://sourceforge.net/projects/elia/?source=directory
- https://link.springer.com/article/10.3758/s13428-012-0302-1
Prerequsities for using this software - Software/Hardware:
Hardware: Tobii x50 eyetracker with E-Prime Extensions for Tobii
Project Anatomy
Community: ELIA community
Leadership: Ian G. Graham
Forking: The HTTP access to this project is available here: svn checkout https://svn.code.sf.net/p/elia/code/trunk elia-code
Communication: There is no known communicaton published. There is a forum page at https://sourceforge.net/projects/elia/support but the page is broken.
Roadmaps:
Original goal:
- Improve its potential usefulness to others, and hoping that shared community effort will yield a more flexible and useful too
- Platform independent
- Using the Visual World paradigm to examine language processing
- Allowing the psycho-linguistics community to quickly export data from E-Prime experiments and visualize these data in an easily accessible platform.
Future goals:
- Providing direct support for multiple independent variables by allowing for the quick collapsing of cells along any dimension relevant for analysis or export.
- Consistency across different eye-tracking setups
- Hover-over help graphics for configuration fields;
- Improving error reporting;
- Simplifying installation for Macs and Linux based machines;
Releases:
- Behavior Research Methods September 2013, Volume 45, Issue 3, pp 646–655 | Cite as ELIA: A software application for integrating spoken language and eye movements, Jared M. J. !Berman, Melanie !Khu,Ian !Graham, Susan A. Graham
Repositories:
The HTTP access to the code of ELIA is: svn checkout https://svn.code.sf.net/p/elia/code/trunk elia-code. There is no repository on github.
Packaging:
Different packages for ELIA can be found at the files page of ELIA sourceforge page: https://sourceforge.net/projects/elia/files/
Upstream/downstream:
The developers are welcomed to help solving the issues, as noted in the release paper, but the only place available for acces is the code page https://sourceforge.net/p/elia/code/HEAD/tree/.
Version Control:
version 0.08.01(2011-07-12) - Latest version control
Trackers:
There is no version or commits tracker.
Project Evaluation
Fieldtrips
Github: / (ELIA is not listed here)
Openhub: / (ELIA is not listed here)
Source Forge: https://sourceforge.net/projects/elia/
Evaluation
Licensing: Eclipse Public License
Language: Groovy, Java
Activity: Active
Number of contributors: There are five known contributors. They are: jberman, Dallas Callaway,Ian G. Graham (admin),Susan Graham,Vanessa Schell.
Size: The size is not listed on the download packages.
Issue tracker: There is no issue tracker.
New contributor: If you want to be a contributor to ELIA you are welcomed to do that at https://sourceforge.net/projects/elia/. Developers are welcomed and will be provided ample support to get up and running.
Community norms: There are no community norms.
User base: Their user base are the developers.
