Listener’s Big Five Personality Traits Predict Changes in Pupil Size During Spoken Language Comprehension

Accepted poster presentation. Abstract to follow.

Dark Forces in Language Comprehension - The Case of Neuroticism and Disgust in a Pupillometry Study

We report on a pupillometry study that investigated the influence of two extra-linguistic variables, namely **Neuroticism** and **Disgust Sensitivity**, on auditory language comprehension. Results suggest that: (1) Language comprehension is influenced by extra-linguistic variables and individual differences; (2) the processing of different kinds of linguistic errors, as opposed to clashes with an individual’s value or belief system, are influenced by different extra-linguistic variables; and that (3) Disgust Sensitivity at least partially predicts pupillary responses to utterances clashing with an individual’s belief system.

It’s Personal and Disgusting - Extra-Linguistic Information in Language Comprehension

Our results suggest that extra-linguistic variables pertaining to the listener's identity influence language processing.

Let’s Get Personal - Does your Personality Affect how you Understand Language?

Our pupillometric research suggests that aspects of the listener's identity, such as their personality or disgust sensitivity, influence language comprehension.

The Influence of Individual Personality Differences in Language Comprehension (Poster Presentation)

Our results suggest that both a listener's personality and a speaker's perceived identity have an influence on automated language comprehension processes, and that these nonlinguistic aspects may affect the anticipation of upcoming information.

Extra-Linguistic Information in Language Processing: The Influence of Listener Personality on Sentence Comprehension [Work in Progress]

Presenting preliminary results from a timed self-paced listening experiment, which suggest that the listener's personality is correlated with button-press times in response to different types of clashes.

Training & Quality Assessment of an OCR Model for Northern Haida (Poster Presentation)

We present our work on the creation of the first optical character recognition (OCR) model for Northern Haida, also known as Masset or Xaad Kil, a nearly extinct First Nations language spoken in the Haida Gwaii archipelago in British Columbia, Canada.

Modern Tech for Old Texts - Training an OCR Model for Northern Haida

We present our work on developing the first OCR model for Northern Haida, an indigenous language with a complex character set.

Is Word Production Interactive? - Evidence from an Experimental Study of Naming and Gender Decision in German

Presenting results from a series of timed masked-priming experiments using grammatical gender in German.