Papers by Maria Wirzberger

2 papers
CoLoSS: Cognitive Load Corpus with Speech and Performance Data from a Symbol-Digit Dual-Task (L18-1)

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Challenge: Existing corpus of speech recordings under cognitive load is available for research purposes .
Approach: They propose to use a corpus of speech under cognitive load recorded in a learning task scenario to obtain a reference for cognitive load.
Outcome: The proposed corpus is available to the scientific community for use in cognitive load-based cognitive load recognition.
InteRead: An Eye Tracking Dataset of Interrupted Reading (2024.lrec-main)

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Challenge: Eye movements during reading can provide insights into cognitive processes and language comprehension, but the scarcity of reading data with interruptions hampers advances in the development of intelligent learning technologies.
Approach: They propose a dataset of eye movements during reading that includes eye movements and word frequency effects.
Outcome: The proposed dataset shows that interruptions, word length and word frequency effects significantly impact eye movements during reading.

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