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Oudhuis, Waded (author)
Computers having the ability to estimate intentions to speak can improve human-computer interaction. While plenty of research has been done on next-speaker prediction, they differ from intentions to speak since these rely only on the person themselves. Previous research was done on inferring intentions to speak using accelerometer data with some...
bachelor thesis 2023
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Tang, Luning (author)
Everyone has the intention to speak sometimes. Allowing agents to estimate people's intention of speaking can increase conversation efficiency and engagement. The intention of speaking can be expressed by multiple modalities as social cues. In order to add value to existing accelerometer-based research, this research aims to build a model on...
bachelor thesis 2023
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Yildiz, Ferhan (author)
This research paper implements, evaluates, and compares two approaches, a machine learning (ML) approach and a rule-based approach, aimed to estimate intentions to speak. The ML approach trains lexical information extracted from time windows surrounding speech events. The rule-based approach looks for specific keywords or utterances to identify...
bachelor thesis 2023
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van Marken, Julie (author)
This research aims to answer the question whether non-verbal vocal behavior can be used to estimate intention to speak. To answer this question data from a dutch social networking event is used to gather intentions to speak. The intentions to speak are split up in two categories: successful and unsuccessful intentions. The unsuccessful...
bachelor thesis 2023
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Achy, Nils (author)
This research paper proposes a deep learning model to infer segments of speaking intentions using body language captured by a body-worn accelerometer. The objective of the study is to detect instances where individuals exhibit a desire to speak based on their body language cues. The labeling scheme employed is a binary string, with “0”...
bachelor thesis 2023
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