The media equation: how people treat computers, television, and new media like real people and places
Stuff I've seen: a system for personal information retrieval and re-use
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Multimodal recognition of personality traits in social interactions
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Social signal processing: Survey of an emerging domain
Image and Vision Computing
Using linguistic cues for the automatic recognition of personality in conversation and text
Journal of Artificial Intelligence Research
Automatically Assessing Personality from Speech
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
One of a kind: inferring personality impressions in meetings
Proceedings of the 15th ACM on International conference on multimodal interaction
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From a cognitive point of view, personality perception corresponds to capturing individual differences and can be thought of as positioning the people around us in an ideal personality space. The more similar the personality of two individuals, the closer their position in the space. This work shows that the mutual position of two individuals in the personality space can be inferred from prosodic features. The experiments, based on ordinal regression techniques, have been performed over a corpus of 640 speech samples comprising 322 individuals assessed in terms of personality traits by 11 human judges, which is the largest database of this type in the literature. The results show that the mutual position of two individuals can be predicted with up to 80% accuracy.