Open Master thesis projects

We are happy to see that you are interested in writing your thesis with us! Please note that the list of open thesis projects on this page is not exhaustive. We also encourage you to approach us with your own research idea. You can find out more about our current interests in the publication or the research section.

Please get in touch with Lena Jäger in case you are interested in doing your thesis with us.

Comparing human and machine surprisal

Research question: How do surprisal values, extracted from large language models, predict different measures of human surprisal in language comprehension (or production)?
Data: Eye-tracking-while reading data, self-paced-reading data
Methods to be used: state-of-the-art language models, hierarchical linear mixed models

Predicting text comprehension from eye movements in reading

Research question: Predicting text comprehension from eye movements in reading.
Data: Eye-tracking-while reading data with reading comprehension scores will be provided.
Methods to be used: Machine Learning (neural sequence models or other methods); challenge: combining language modeling of the stimulus text with eye movement data

The impact of cognitive states on sentence processing

Research question: How are the cognitive mechanisms that underlie sentence processing affected by temporal cognitive conditions such as sleepiness or alcoholization?
Data: Eye-tracking-while reading data will be provided.
Methods to be used: Psycholinguistic statistical analysis of eye-tracking data

Detection of mental and physical fatigue from eye movements in reading

Research question: Detection of mental and physical fatigue from eye movements in reading

Data: Eye-tracking-while reading data with a range of labels that quantify sleepiness/vigilance will be provided.

Methods to be used: Machine Learning (neural sequence models or other methods); challenge: combining language modeling of the stimulus text with eye movement data

Detection of alcoholization from eye movements in reading

Research question: Detection of alcoholization from eye movements in reading

Data: Eye-tracking-while reading data labelled the reader's with breath alcohol level will be provided.

Methods to be used: Machine Learning (neural sequence models or other methods); challenge: combining language modeling of the stimulus text with eye movement data

 

Personality classification from eye movements in reading

Research question: Personality (big 5) classification from eye movements in reading

Data: Eye-tracking-while reading data labelled with psychometric personality scores

Methods to be used: Machine Learning (neural sequence models or other methods); challenge: combining language modeling of the stimulus text with eye movement data

Methodological comparison between eye-tracking and self-paced reading for psycholinguistic research

Research question: Methodological comparison between eye-tracking and self-paced reading for psycholinguistic research in sentence processing

Data: Self-paced-reading and eye-tracking data will be provided

Methods: Psycholinguistic statistical data analysis

Investigating the implications of the animacy hierarchy in German

Research question: Investigating the implications of the animacy hierarchy in German

Data: Self-paced reading data to be collected

Method: Self-paced reading data collection and psycholinguistic statistical data analysis

 

Predicting programming skills from eye movements in code reading

Research Question: Inference of coding skills / code comprehension level from eye movements in code reading
Data: Eyetracking data to be collected
Methods to be used: Machine Learning (e.g. neural sequence models)

Deep neural feature representation of eye-tracking data

Research Question: Developing deep neural feature representations of eye-tracking-while-reading data
Data: Various eye-tracking-while-reading data sets will be provided
Methods to be used: Machine Learning (e.g. CNN, sequence models)

Predicting foreign language proficiency from eye movements in reading

Research Question: Inference of foreign language proficiency from eye movements in reading
Data: Eye-tracking-while-reading data sets will be provided
Methods to be used: Machine Learning (e.g. neural sequence models)

Inferring subjective vs objective text difficulty from eye movements in reading

Research Question: Can we estimate objective text difficulty from eye movements in reading using subjective judgements as labels?
Data: https://github.com/ahnchive/SB-SAT/
Methods to be used: Psycholinguistic statistical analysis and/or Machine Learning Methods (e.g. neural sequence models)