Summer Neurolinguistics School 2023: Lectures, Talks and other School activities

General Info

Lectures, Talks and other School activities

School Schedule

Registration

Call for Abstracts

Practicalities

Irina A. Sekerina, City University of New York

Eye-Tracking Without an Eye-Tracker
Online experimentation is emerging as a new methodology in classical cognitive psychology, psychology, and language acquisition. It allows for easy, fast, broad, and cheap data collection from the comfort of people’s homes. In this tutorial, I will present a concept of eye-tracking capabilities of laptops using a built-in web camera. The platform used is PCIbex (https://farm.pcibex.net/) that has an EyeTracker template suitable for research in the Visual World Paradigm. It is based on integrated presentation of images and spoken instructions and records eye movements remotely. No technical skills are required for the tutorial; however, some programming experience with Java is necessary for successful adaptation and implementation of new eye-tracking projects later in PCIbex.

Soroosh Shalileh, HSE University

Dyslexia Detection by Eye-fixation, Demographic and AI
Developmental dyslexia is a learning disorder characterized by specific reading impairment despite normal intelligence and oral language skills. Traditionally, dyslexia is identified during a formal assessment that involves a set of language and cognitive tasks tapping into phonological and visual-spatial processing, reading of words, non-words and texts, and spelling abilities. Such assessment batteries require a trained specialist, are time-consuming and require overt children's responses during a rather exotic behaviour. Thus, they are hardly suitable for screening, which is in great demand to decrease the age of dyslexia identification. Recently, a new set of Artificial Intelligence-based dyslexia detection solutions has emerged. In this talk, we concisely represent our research results in the pursuit of the following objectives: (i) to introduce a novel multi-sources data set to tackle the shortcomings of the previous data sets, (ii) to propose a robust artificial intelligence-based solution to identify dyslexia in primary school pupils, (iii) to inquire our prior psycholinguistic knowledge by studying the importance of the features in identifying dyslexia by our best AI model.

 

 

Anna Laurinavichyute, University of Potsdam

Analyzing eye-tracking data: the promise and practice
We'll dive into how eye-tracking data are typically treated and analyzed, both in reading and viewing-while-listening research. We'll start with the traditional data aggregation methods and move on to the more fine-grained techniques with better temporal resolution, such as growth curve analysis, divergence point analysis, scanpaths, and generalized additive logistic regression.

Anastasiya Lopukhina, Royal Holloway, University of London

What can eye movements tell us about reading development in children?
Eye-tracking is an ecologically valid and reliable method for studying reading behaviour in emerging readers. This talk overviews recent studies on eye-movement development in children. Specifically, I will talk about where and for how long children look at individual words in sentences during reading and whether it depends on children’s reading proficiency and language. Also, I will discuss sentence-level reading patterns obtained via the scanpaths analysis and their relation to reading comprehension. Finally, I will give an example of an eye-tracking study with a practical outcome: it aims to answer the question of whether same-language subtitles help children learn to read.




Elena S. Gorbunova, HSE University

Eye tracking in UX research: what do eye movements say about user experience?
As technology advances, user experience research is becoming more and more popular. Usually, UX studies are qualitative and do not require any special equipment. However, in recent years, user behavior features and subjective reports are often supplemented by the hardware techniques. One of the popular techniques in UX research is eye-tracking. In this lecture, we will talk about what useful information user eye movements can provide and what parameters of eye movements are usually recorded in UX studies. We will also discuss the features of conducting, data analysis and results presentation in UX studies supplemented with eye-tracking.

 

Svetlana Alexeeva, Saint-Petersburg State University

The readability and legibility of Cyrillic typefaces: evidence from on-screen and mobile eye-tracking
The study of reading has been significantly advanced in the last 40 years by examining eye movements recorded during the reading process. Despite the progress made by researchers using eye movement recording as a methodology, there have been relatively few improvements in how text is displayed to readers. My talk will focus on eye-movement studies of Cyrillic fonts, which are even rarer than those in English. I will discuss how to assess the readability and legibility of a font using eye-tracking and which Cyrillic fonts performed the best in our tests. Additionally, I will explore the effectiveness of a recently developed dyslexia-friendly Cyrillic font, LexiaD. Finally, I will address several methodological issues related to using a mobile eye-tracker in reading research.

Contributed oral presentations

Anna Izmalkova, HSE University / Moscow State Linguistic University

How can we trace cognitive strategies with eye-tracking data?
Eye tracking can provide valuable online evidence of mental processes in a variety of tasks. In the talk I will provide a brief overview of eye movement research on visual search strategies and problem solving strategies. In the second part of the presentation, eye movement patterns in L2 vocabulary acquisition tasks will be described. A research paradigm for eliciting cognitive strategies based on 1) eye-tracking data, 2) post hoc report and 3) mistakes analysis will be presented. Possibilities for inducing effective cognitive strategies using eye tracking data will be discussed.


Colleagues from the Neuroiconica Lab (Konstantin Shelepin, Veronika Zuyeva, Kseniya Skuratova) will give an oral talk on the topic From simple to complex. Modern eye-tracking solutions in science, education, medicine and neuromarketing.



Other activities

• Additionally, the cutting-edge eye-tracking technology (a Neurobereau and an assistive complex EyeCommunicator) by the Neuroiconica Lab will be demonstrated during the School.
• Tatiana Ledneva and Anna Izmalkova, PhD (Cognitive control, communication and perception research group) will give a workshop on Eye Movement Modeling Examples (EMME) paradigm. This approach is widely used to enhance knowledge transfer in expert-novice interaction on educational context. At the workshop, the paradigm will be applied to reading strategies. The number of places is limited. The registration form for this workshop will be open soon.