Multimodal recognition of personality traits in human-computer collaborative tasks
Proceedings of the 14th ACM international conference on Multimodal interaction
Classifying social actions with a single accelerometer
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Proceedings of the 15th ACM on International conference on multimodal interaction
Going beyond traits: multimodal classification of personality states in the wild
Proceedings of the 15th ACM on International conference on multimodal interaction
Inferring social activities with mobile sensor networks
Proceedings of the 15th ACM on International conference on multimodal interaction
Proceedings of the 15th ACM on International conference on multimodal interaction
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This paper presents the SocioMetric Badges Corpus, a new corpus for social interaction studies collected during a 6 weeks contiguous period in a research institution, monitoring the activity of 53 people. The design of the corpus was inspired by the need to provide researchers and practitioners with: a) raw digital trace data that could be used to directly address the task of investigating, reconstructing and predicting people's actual social behavior in complex organizations, b) information about participants' individual characteristics (e.g., personality traits), along with c) data concerning the general social context (e.g., participants' social networks) and the specific situations they find themselves in.