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Professor Allison Wetterlin, UiA
The course introduces students to the use of eye-tracking technology and experimental design for methodologies examining eye movements during the reading of text and during the spoken descriptions of visual scenes.
The course will deal with all aspects of eye-tracking as an experimental methodology.
Participants will be trained in the use of an Eyelink 1000, will build and run mini experiments, and perform data preprocessing and analysis.
You may also see the Course description on the Norwegian Graduate Researcher School in Linguistics and Philology website:
15 - 18 of September, 2020
Day 1: 10:00 - 17.00 A theoretical and practical introduction to eyetracking with the Eyelink 100. Dr. Steven Frisson
Day 2: 09:00 - 17:00 Buidling and analyzing a text based experiment. Dr. Steven Frisson
Day 3: 09:00 - 17:00 An introduction to visual world paradigms Dr. Agnieszka Konopka
Day 4: 09:00 - 16:30 Buidling and analyzing a visual world experiment Dr. Agnieszka Konopka
Dr. Steven Frisson is an experimental psycholinguist at the University of Birmingham in the U.K. His research focuses on how people comprehend language. He has approached this question at several different levels of processing in reading, going from low-level visual input to high-level pragmatics. The majority of his research employs eye-tracking methodology which he has used to investigate a issues including orthographic and phonological processes, semantic and pragmatic processing, predictability in sentence processing, coercion processes, and the processing of figurative language. (More information about Steven’s research can be found at https://www.birmingham.ac.uk/staff/profiles/psychology/frisson-steven.aspx)
Dr. Agnieszka Konopka is an experimental psycholinguistics at the University of Aberdeen in the U.K. Her research addresses questions in language production and memory for language. Her work on language production flexibility in sentence formulation, and asks how speakers plan what to say and how to say it. Her work on memory for language examines native and non-native speakers' memory for simple sentences. Dr. Konopka uses eye-tracking methodologies to record eye-movement while speakers describe visual scenes, in order to investigate the relationship between the up-take of visual information, speech production, and memory. (More information about Agnieszka’s research can be found at https://www.abdn.ac.uk/people/agnieszka.konopka)
PhD programme at the Faculty of Humanities and Education, specialization in linguistics
Students must be admitted to a relevant PhD-programme
After completing the course, the students will have gained basic knowledge of eye-tracking research and techniques. They will have an understanding of how eye-movements can be measured and what they can tell us about aspects of language processing. They will be introduced to software used to build eye-tracking experiments and analyses eye-tracking data. Furthermore, the students will have acquired practical skills in using the Eyelink 1000, as the course is specifically targeted to hands-on experience in the use of this tool for research.
The aim of this course is to provide students with an introduction to eye-tracking methodologies in language research. The course introduces students to the use of eye-tracking technology and experimental design for methodologies examining eye movements during the reading of text and during the spoken descriptions of visual scenes. The course will deal with all aspects of eye-tracking as an experimental methodology. Participants will be trained in the use of an Eyelink 1000, will build and run mini experiments, and perform data preprocessing and analysis.
This course will consist of lectures, discussions and hands-on practical work with the eye-tracker and with data sets. Lectures will provide a theoretical introduction to eye-tracking methodology as well as to critical research in the fields of text reading and visual world studies of language production. Participants will work in small groups to learn to use the eye-tracker, build mini experiments, and analyze data sets.
The course will award 5 ECTS to participants who
Students will be assessed by their work on the practical assignments set during the course.
Professor Linda Wheeldon