What an “Ehm” Leaks About You: Mapping Fillers into Personality Traits with Quantum Evolutionary Feature Selection Algorithms

IEEE Transactions on Affective Computing(2022)

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摘要
This work shows that fillers - short utterances like “ehm” and “uhm” - allow one to predict whether someone is above median along the Big-Five personality traits. The experiments have been performed over a corpus of 2,988 fillers uttered by 120 different speakers in spontaneous conversations. The results show that the prediction accuracies range between 74 and 82 percent depending on the particula...
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关键词
Feature extraction,Task analysis,Evolutionary computation,Planning,Standards,Optimization,Machine learning algorithms
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