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Published on: May 31, 2018
On the road to somewhere: Brain potentials reflect language effects on motion event perception
Monique Flecken1, Panos Athanasopoulos2, Jan Rouke Kuipers3
1Max Planck Institute for Psycholinguistics, Wundtlaan 1, 6525 XD Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Centre for Cognition, Radboud University, Montessorilaan 3, 6525 HR Nijmegen, The Netherlands.
Language grammar influences how we perceive motion events. German speakers, whose language emphasizes endpoints, focused more on endpoints than English speakers, whose language equally highlights trajectory and endpoint.
Area of Science:
- Cognitive Science
- Neuroscience
- Linguistics
Background:
- Neural correlates of language effects on perception are known for static domains like color and objects.
- Generalization of these effects to dynamic domains, such as motion events, remains unclear.
Purpose of the Study:
- To investigate how grammatical differences in languages (German vs. English) impact the perception of motion events.
- To determine if linguistic structures influencing event encoding affect visual scene perception in a non-verbal context.
Main Methods:
- Two groups of native German and English speakers viewed animated motion events (dot moving along a trajectory to an endpoint).
- Experiment 1: Event-related brain potentials (ERPs) were recorded during a task involving matching motion primes with target images.
- Experiment 2: Participants performed a behavioral motion matching task with the same stimuli.
Main Results:
- German participants showed a larger P3 wave for endpoint matches compared to trajectory matches, indicating greater endpoint saliency.
- English speakers did not exhibit a significant difference in P3 amplitude between endpoint and trajectory matches.
- Behavioral data showed no difference in response times between German and English speakers, suggesting automatic perceptual influence.
Conclusions:
- Grammatical properties of a native language influence the perception of motion events, even in non-verbal tasks.
- Language-specific event encoding patterns automatically direct attention towards grammatically highlighted aspects of motion events.
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