The role of disfluencies when predicting uhh language: Combining EEG and eye-tracking with virtual reality

Huizeling, E., Alday, P. M., Peeters, D., & Hagoort, P. (2023). The role of disfluencies when predicting uhh language: Combining EEG and eye-tracking with virtual reality. Poster presented at the 19th NVP Winter Conference on Brain and Cognition, Egmond aan Zee, The Netherlands.
Language comprehension may be facilitated by prediction, where a listener’s eye-gaze moves towards a referent before it is mentioned if the noun is predictable. Anticipatory fixations reduce when speech contains disfluencies (hesitations/repairs). Changes to the pattern of anticipatory fixations could result from a change in prediction or an attention shift. We combined EEG and eye-tracking to study the prediction of language in naturalistic, virtual environments (experiment 1 & 2) and the influence of disfluencies on predicting language (experiment 2). Participants (n=32; preliminary n=19) listened to sentences spoken by a virtual agent in various virtual scenes (e.g., office, street) while participants’ eye-movements and EEG were recorded. Spoken sentences were predictable or unpredictable, based on the verb constraints and referents were visible or absent in the scene to be congruent or incongruent with listeners’ predictions, respectively. In experiment 2, sentences were additionally either fluent or disfluent with ahesitation (uhh). Increased processing, reflected in increased theta power, was greater either at the predictive verb onset or at unpredictable noun onset in fluent sentences, but was observed at both predictable and unpredictable noun onsets in disfluent sentences. Our findings provide preliminary evidence supporting that hesitations reduce the weight listeners place on their predictions.
Publication type
Poster
Publication date
2023

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