Webinar - Implementing the Visual World Paradigm in Experiment Builder

The Visual World Paradigm provides insight into the time-course of processing spoken language comprehension. On each trial of a typical Visual World experiment, the participant will see two or more images and hear some instructions about how to interact with the images. For example, the participant may see an image of some grapes, an image of a grill, an image of an apple, and an image of an umbrella and then hear instructions telling them to click on the grapes. The looking pattern to the various images as the utterance unfolds tells us about the time-course of comprehending different aspects of the utterance, as looks to the grill indicate phonological interference and looks to the apple indicate semantic interference before the participant eventually identifies the true target (the grapes). This webinar will cover how to implement a typical version of the Visual World Paradigm in Experiment Builder. The discussion will cover: 00:00 - General Intro and Basics of Experiment Builder 06:30 - Description of the Visual World Paradigm 17:15 - How to Implement an Auto Drift Check 19:38 - How to Present Image Resources and Balance Stimulus Types Across Trials 28:52 - How to Present Audio Playback and Mark Critical Auditory Time Points 32:35 - How to Collect Behavioral Responses From Participants 41:10 - Walkthrough of the SimpleVisualWorld.ebz Example Please see the following Webinar for data analysis on the Visual World Paradigm at the following link: https://youtu.be/WOmBxgdq6bA Having basic knowledge of Experiment Builder functionality will help in understanding the concepts discussed in this webinar, but it is not required. For an introduction to the basic functionality of Experiment Builder please see our Experiment Builder Video Tutorial playlist at the following link: https://www.youtube.com/playlist?list=PLOdF-B36TwspI-XgKuRC2xFfa768Lsngv You can get a copy of the video, the PowerPoint, and the Experiment Builder example at the following link: https://drive.google.com/drive/folders/1PH312mMMkVTEfzxmwZXrIxZjTrTHAY56