CCP | STEP

STEP


  • 24 Aug


  • Juhani Jarvikivi

STEP2021

STEP2022 – CCP Spring Training in Experimental Psycholinguistics

Advancing the methodological skills and conceptual prowess of students of linguistics and psycholinguistics since 2014.

The Centre for Comparative Psycholinguistics (CCP, University of Alberta Department of Linguistics) organizes a week long Spring Training Workshop in current issues and methods in psycholinguistics. There will be no sessions in 2022 – stay tuned for updates about STEP 2023!

The Spring School is directed at postdoctoral fellows, graduate and advanced undergraduate students, and anyone else interested in learning how to turn their research ideas into concrete steps towards experimental designs, data collection and analysis using advanced experimental and statistical methods.

Courses

TBD


babySTEP

In the months prior to STEP we are planning to offer a series of virtual tutorials in psycholinguistics methods.  If you missed one and would like to watch a recording, you can request access to any of our babySTEP videos by filling out short form:

Request Access to Videos

 

Introduction to WebGazer

As a continuation of our 2021 babySTEP tutorials, we are pleased to offer an Introduction to WebGazer with Dr. Ian Krajbich and Xiaozhi Yang (Ohio State). Their recent article “Webcam-based online eye-tracking for behavioral research”  outlines a case for using web-based eyetracking in behavioral research.  This tutorial will go into detail on how exactly to incorporate webcam-based eye tracking into JavaScript experiments.

Experiments are increasingly moving online. This poses a major challenge for researchers who rely on in-lab techniques such as eye-tracking. Researchers in computer science have developed web-based eye-tracking applications (WebGazer; Papoutsaki et al., 2016) but they have yet to see use in behavioral research. This is likely due to the extensive calibration and validation procedure, inconsistent temporal resolution (Semmelmann & Weigelt, 2018), and the challenge of integrating it into experimental software. Here, we incorporate WebGazer into a widely used JavaScript library among behavioral researchers (jsPsych) and adjust the procedure and code to reduce calibration/validation and improve the temporal resolution (from 100-1000 ms to 20-30 ms). We test this procedure with a decision-making study on Amazon MTurk, replicating previous in-lab findings on the relationship between gaze and choice, with little degradation in spatial or temporal resolution. This provides evidence that online web-based eye-tracking is feasible in behavioral research.

 

When: January 19, 2022 – 10am EST

Where: Zoom

 

STEP2022 is supported by: