NLP-guided Video Thin-slicing for Automated Scoring of Non-Cognitive, Behavioral Performance Tasks

Multimodal Interfaces and Machine Learning for Multimodal Interaction(2021)

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Abstract
ABSTRACT We propose a novel and practical approach to model non-cognitive, behavioral performance tasks, by using natural language processing (NLP) to guide the selection of “thin-slices” that are representative of holistic video performances and demonstrate its promise.
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Key words
automated scoring,tasks,performance,nlp-guided,thin-slicing,non-cognitive
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