AE
Amira Elnouty
Contributed
5 records found as contributor
Estimating intentions to speak in social settings
Speaker intention estimation using accelerometer data and non-verbal vocal behaviour
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
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Estimating intentions to speak using Lexical information
Leveraging Lexical Information to Facilitate Social Interactions with Artificial Agents
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-ba
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Inferring Segments of Speaking Intention Using a Body-worn Accelerometer
Enhancing social interaction with AI-powered systems
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.
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Estimating Intentions to Speak Using Body Postures in Social Interactions
Leveraging Different Machine Learning Techniques for Accurate Estimation of Intentions to Speak In-the-Wild
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 accel
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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:
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