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Dec 27, 2020 · In this work, we investigate whether we can maintain robust prediction performance when using only limited context from the beginning of the ...
Oct 29, 2020 · ABSTRACT. Automated prediction of group task performance normally pro- ceeds by extracting linguistic, acoustic, or multimodal features.
Oct 25, 2020 · In this work, we investigate whether we can maintain robust prediction performance when using only limited context from the beginning of the ...
Because groups consist of many members, group performance is almost always better than the performance of an individual acting alone.
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Sep 26, 2019 · The present research examined how individual performance, interpersonal attraction, and interpersonal behavior affect group performance in a problem-solving ...
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May 28, 2024 · We present in this paper some attempts to design a Machine Learning method to predict preference knowledge in a multi-agents context. This ...
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Dec 7, 2022 · Here we investigate how humans assess aggressive, playful and neutral interactions between members of three species: human children, dogs and macaques.
This study aims to use data mining approach on the prediction of team performance and members' interaction based on individual personality traits.
Abstract— We propose an approach for predicting group formations, to address the problem of automating the incorporation of group awareness into CSCL ...
We run two experiments to study how predictions about own performance and the performance of others develop over time and how they influence allocation.
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