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Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
Published on: September 5, 2019
Real-time language comprehension research using the Apple-Psych system.
Mark Beeman1, Morton A Gernsbacher1
1University of Oregon, Eugene, Oregon.
The Apple-Psych system facilitates language comprehension research by enabling various experimental tasks. This technology is currently being used to measure brain activity during auditory discourse comprehension.
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Area of Science:
- Cognitive Science
- Neuroscience
- Psycholinguistics
Background:
- Assessing cognitive processes in language comprehension requires specialized experimental tools.
- Existing methods may have limitations in flexibility and integration of different stimuli types.
Purpose of the Study:
- To introduce and detail the capabilities of the Apple-Psych system for conducting language comprehension experiments.
- To demonstrate the implementation of standard cognitive tasks within this new system.
- To report on the ongoing use of the system for electrophysiological data collection.
Main Methods:
- The Apple-Psych system was developed to present visual and auditory stimuli for language tasks.
- Implemented tasks include segment-by-segment reading, divided-attention, and crossmodal paradigms.
- The system currently controls event-related potential (ERP) data acquisition during auditory discourse comprehension.
Main Results:
- The Apple-Psych system successfully supports the implementation of diverse language comprehension tasks.
- The system allows for the presentation of stimuli in multiple modalities (visual and auditory).
- Ongoing research utilizes the system to collect neurophysiological data (ERPs) during complex language processing.
Conclusions:
- The Apple-Psych system offers a versatile platform for cognitive psychology and neuroscience research.
- It enables the study of language comprehension through various experimental designs and data collection methods.
- The system's current application in ERP research highlights its utility for investigating neural correlates of language processing.

