Pre-Conference Workshops

Prior to ECEM 2017, several pre-conference workshops will be offered that will give students and researchers the opportunity to delve deeply into special topics relevant to eye movement research. The workshops will start on Saturday, August 19th and will be scheduled as two three-hour sessions plus a 30-min break (i.e. 6 hours in total, from 9:00am to 12:30pm and from 1:30pm to 4:30pm). Between 12:30pm and 1:30pm, lunch will be available. Some workshops will continue in the morning of Sunday, August 20th from 9:00am to 12:30pm).

For a workshop to take place, at least 15 participants need to register (60 maximum). Registration fee is 70€ for 6h workshops and 90€ for 9h workshops.

The following pre-conference workshops will be hosted:

Programming and analysing eye-tracking experiments in Python (6h)
Eye-tracking in virtual realities (6h)
Analysing Eye Movement Experiments using Linear Mixed Models in R (9h)
Infant eye tracking (6h)
A worst practice workshop for eye tracking researchers
COGAIN workshops

Programming and analysing eye-tracking experiments in Python (6h)

Edwin Dalmaijer, University of Oxford, UK

In this hands-on workshop, you will learn how to script eye-tracking experiments and analyses in Python. This versatile and open-source programming language is free, easy to use, and very popular in science and industry. We will start from a beginners level, so no prior programming experience is required. The programme covers the basics of Python, and will build up to a point where you will use the PyGaze and PsychoPy libraries to create a simple experiment. After collecting some (simulated) data, we will turn to analysis and visualisation using the NumPy, SciPy, and Matplotlib packages. This will be a brief introduction of how to handle common file formats, how to process pupil data, and how to detect and visualise fixations. At the end of the workshop, you should have a basic proficiency in Python, on which you can build further knowledge gained from documentation or more advanced courses. All the required software and materials will be made available, but please do bring your own computer.

The workshop will be taught by Edwin Dalmaijer (University of Oxford), who is the developer of several useuful software packages, including PyGaze and parts of OpenSesame. Please click here for further info about that at ECEM 2017.

Eye-tracking in virtual realities (6h)

Gabe Diaz, Rochester Institute of Technology, USA

Further information will be posted here as soon as it is available.

Analysing Eye Movement Experiments using Linear Mixed Models in R (9h)

Denis Drieghe, University of Southampton, UK

Linear Mixed Models (LMM) are an increasingly popular way to analyse eye movement data as they can simultaneously account for multiple uncontrolled effects in the data such as individual variability or variability in the stimuli. In this workshop, we will focus on replacing the analysis of eye movement data using the General Linear Model (e.g. ANOVA’s, regressions) by analyses based on LMMs.

The workshop will start by exploring multiple regression in R as from there on it is a logical step to venture into LMMs. No pre-existing knowledge concerning LMMs is required. However, people taking the workshop will be expected to have mastered the basic skills of working in R: Getting data into R, accessing variables and managing subsets of data, use of simple functions and basic plotting tools. If you still need to acquire these skills before the workshop, there are many excellent, free guides for beginners available on-line. If you prefer to work from a book, a fairly inexpensive one is by Zuur, Leno and Meesters (2009) for which besides a paperback version, there is also a Kindle edition and a Chinese translation available.

The workshop will focus on introducing LMMs and analyzing experiments from relatively simple experimental designs (no more than three continuous or categorical factors). The goal will not be on analyzing a comprehensive set of complex designs but on spending a considerable time of the workshop doing exercises of the designs that are being covered.

Alain Zuur, Elena Ieno, & Erik Meesters. A Beginner’s Guide to R. Springer. ISBN: 978-0387938363

Infant eye tracking (6h)

Roy Hessels, Utrecht University, Netherlands

Advances in eye-tracking technology have made it possible to conduct research with infants into the development of visual attention, oculomotor control, infant learning, and many other fields. However, unlike well-trained adult participants, infants are difficult to restrain in their movement, and comprehension of instruction is problematic. This has its consequences for eye-tracking data quality, and the inferences we draw from eye-movement research about infant development. In this workshop, the advantages and disadvantages of eye tracking in infancy will be addressed, problems for eye-tracking data quality (and potential solutions) will be discussed, and a data-analysis perspective for infant eye-tracking data is considered. While infants will be considered as the archetypal “difficult participant group”, the problems addressed in this workshop pertain to toddlers, school-aged children, and certain patient groups as well.

Target audience: beginning and intermediate eye-tracking researchers working with infants. Many problems addressed are relevant for research with older children, or certain patient groups as well.

After the workshop, participants should be able to:
- Identify advantages and disadvantages of eye tracking in infant research
- Recognize limiting factors for eye-tracking data quality, and identify potential solutions
- Read eye-tracking data of varying quality
- Make decisions about data-analysis steps for low-quality eye-tracking data

Preliminary schedule:

9:00am - 9:30amLecture 1 - Introduction: eye tracking in infancy
9:30am - 9:45amCoffee
9:45am - 10:45amLecture 2 - Data quality in infant eye-tracking research
10:45am - 11:00amCoffee
11:00am - 12:30pmWorkshop 1 - Choosing your test, eye tracker, and setup
12:30pm - 1:30pmLunch
1:30pm - 2:15pmLecture 3 - Data-analysis perspective for low-quality eye-tracking data
2:15pm - 3:15pmWorkshop 2 - Reading eye-tracking data of variable quality
3:15pm - 3:30pmCoffee
3:30pm - 4:30pmWorkshop 3 - Problems in your own eye-tracking research

For the final workshop, participants are requested to submit problems they encounter in their own research to Problems that are shared by many participants, or those that provide key insights not already addressed in the workshop, will be addressed in a plenary discussion.

A worst practice workshop for eye tracking researchers

Jacob Lund Orquin, Aarhus University, Denmark

In this workshop, we will identify and discuss some unfortunate research practices that might lead to your eye tracking paper being rejected. In the first part of the workshop, we work on how to report eye tracking studies to ensure transparency and reproducibility and discuss the level of reporting and reproducibility in eye tracking research as a discipline. The second part of the workshop concerns common pitfalls in eye tracking research, for instance, under-sampling critical trials, inappropriate aggregation of data, reversing causality, and other flaws that might bar your study from publication.

COGAIN workshops

We will integrate the COGAIN meeting into the ECEM 2017. As part of this, there will be two workshops, one on eye tracking data quality, and one on gaze interaction. Further information will be posted here as soon as it is available.