This course provides students with a comprehensive understanding of decision-making processes, eye-tracking methodology, and data analysis techniques. Students will gain hands-on experience in programming their own experiments, collecting and analyzing eye-tracking data, and presenting their findings in a rigorous and transparent manner.

By the end of the course, students will be able to:

1. Know different process models of decision-making 
2. Understand the design features of eye-tracking studies and their effect on data quality
3. Program their own experiments using Psychopy
4. Pre-register their hypotheses, data, and analyses prior to collecting data.
5. Conduct their first eye-tracking experiment
6. Analyze eye-tracking data 
7. Present their findings in a clear and concise manner

For this lecture participation is obligatory. Students are allowed to miss a maximum of 20%

Course Schedule:

Week 1: Introduction to Decision-Making Processes & Design Features of Eye-Tracking Studies (Introduction)

Overview of different models of decision-making processes

Different types of eye-tracking studies

Fixation-based, saccade-based, and pupillometry-based studies

Lecture: Introduction to eye tracking and experimental design for eye tracking:

Week 2 & 3: Development of Experimental Design (Collaborative Workshop)

Self-paced study to develop the hypotheses within your own project

Developing lay-out and design of your first eye-tracking experiment

Workshop 1: Development of experimental design

Week 4: Experimental Design (Feedback Session on ZOOM)

Presentation of the first own experimental design to the class

Feedback from peers and instructor

Refining experimental designs

Week 5 & 6: First steps into programming experiment 

Self-paced installation of Psychopy and first steps into understanding the program

Week 7: Programming in Psychopy  (Introduction on ZOOM)

Introduction to programming in Psychopy

Designing and programming the first own experiment

Week 8 - 10: Programming your Study (Collaborative Workshop)

Self-paced study to implement you experimental design in Psychopy

Week 9: Introduction to Pre-registration & Analyses of Eye-Tracking Data  (Introduction)

Importance of pre-registration

Registering hypotheses, data, and analyses prior to collecting data

Different types of analyses for eye-tracking data

Statistical techniques for analyzing eye-tracking data

Transparency in presenting findings

Week 11-13: Analysing Eye-tracking Data (Collaborative Workshop)

Self-paced analyses of the collected pilot data

Week 14: Presenting Findings and Preparation of Analysis Report  (Feedback Session)

To benefit from the class, you need to be at least in the design stage of your research project. 

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To benefit from the class, you need to be at least in the design stage of your research project.