Review of ELIA

Eye-gaze Language Integration Analysis is a software application that combines data collected from eye-movement with the spoken language input. It is open source and it provides E-Prime output or .cvs. This application is very important because eyes have been considered to provide insight into our cognitive processes. An axample of this can be derived from an interesting experiment explained in a study called: "An Eye Tracking Study to Investigate the Influence

of Language and Text Direction on Multimedia" authored by Arwa Adulwahab Mashat, Old Dominion University, issued by Spring 2017.

This study investigated how native language orientation influences spatial bias, first visual fixation on screen, first visual fixation on pictures, learning outcomes, and mental effort of learners. This experiment was done by 84 participants, which were divided in four groups:

1. NativeLeft_InstrEng - Individuals with native language written from left to right. They received material in English.
2. NativeRight_InstrAra - Individuals whose native language is written from right to left, received the material in Arabic.
3. NativeLeft_LrnRight_InstrEng - Individuals whose native language is written from left to right and who are learning or have learned a language written from right to left. Material received in English.
4. NativeRight_InstrEng - Individuals whose native language is written from right to left, received the material in English.

After a survey containing eight sections:

1. Demographic questions
2. Self-estimate prior knowledge test
3. The instructional unit
4. Mental effort rating
5. Sentence forming questions
6. Recalling questions
7. Sequence question
8. Post-test questions.

The eye-tracking done with Elia detected first fixations on screen and pictures and results were compaired with participants' written responces. The result of this experiment study showed that the eyes are the blueprint of how we process the visual information. It was shown that the spatial bias is associated with native language orientation such that the left-oriented learners were more likely to demonstrate left bias on the screen, while participants who were right-oriented demonstrated right bias.