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Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

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Real-time language comprehension research using the Apple-Psych system.

Mark Beeman¹, Morton A Gernsbacher¹

¹University of Oregon, Eugene, Oregon.

Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc

|October 14, 2014

Summary

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.