Dataset Shift in Machine Learning
Dataset Shift in Machine Learning
IEEE Transactions on Knowledge and Data Engineering
Vlogcast yourself: nonverbal behavior and attention in social media
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Please, tell me about yourself: automatic personality assessment using short self-presentations
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Mining large-scale smartphone data for personality studies
Personal and Ubiquitous Computing
Connecting Meeting Behavior with Extraversion—A Systematic Study
IEEE Transactions on Affective Computing
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In this study, we investigate the use of social media content as a domain to learn personality trait impressions, particularly extraversion. Our aim is to transfer the knowledge that can be extracted from conversational videos in video blogging sites to small group settings to predict the extraversion trait with nonverbal cues. We use YouTube data containing personality impression scores of 442 people as the source domain and a small-group meeting data from a total of 102 people as our target domain. Our results show that, for the extraversion trait, by using user-created video blogs, as part of the training data, and a small amount of adaptation data from the target domain, we are able to achieve higher prediction accuracies than using only the data recorded in small group settings.