NDLI: Collecting data for socially intelligent surveillance and monitoring approaches: The case of conflict in competitive conversations

Content Provider	IEEE Xplore Digital Library
Author	Vinciarelli, A. Kim, S. Valente, F. Salamin, H.
Copyright Year	2012
Description	Author affiliation: University of Glasgow, Sir A. Williams Bldg., G12 8QQ, Glasgow (UK) (Vinciarelli, A.; Salamin, H.) \|\| Idiap Research Institute, CP592, 1920 Martigny (Switzerland) (Kim, S.; Valente, F.)
Abstract	One of the most recent trends in surveillance research is the application of socially aware approaches, i.e. approaches that integrate human sciences findings in order to better understand, model and predict the behaviour of people under observation. One of the key requirements for the development of such approaches is the collection of corpora that provide sufficient and reliable information about social phenomena of interest. However, the computing community still pays relatively little attention to the application of methodologies suitable for observational data collection, possibly inspired by human sciences experimental work. This paper tries to fill, at least partially, such a gap by providing an introduction to data collection techniques applied in nonverbal behaviour research. The collection of a corpus aimed at the study of conflict in conversations is used as a case study and example.
Starting Page	1
Ending Page	4
File Size	431443
Page Count	4
File Format	PDF
ISBN	9781467302746
e-ISBN	9781467302760
DOI	10.1109/ISCCSP.2012.6217878
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-02
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	TV Correlation Social Signal Processing Surveillance Conflict Humans Nonverbal behaviour Signal processing Physical layer
Content Type	Text
Resource Type	Article

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