Detecting social interactions in working environments through sensing technologies
| Autor: | Stefano Chessa, Juan Antonio Álvarez-García, Michele Girolami, Luigi Fortunati, Álvaro Arcos García |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos, Ministerio de Economía y Competitividad (MINECO). España, Junta de Andalucía |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Knowledge management
Smart office Internet privacy Computational social science 02 engineering and technology COMPUTER-COMMUNICATION NETWORKS Social network analysis Speech activity Similarity (psychology) 0202 electrical engineering electronic engineering information engineering Sociology Data collection business.industry Computer Science (all) Social network analysis (criminology) 020206 networking & telecommunications Interpersonal ties Control and Systems Engineering Computational Social Science Smart Office 020201 artificial intelligence & image processing Computational sociology business Social Network Analysis |
| Zdroj: | Ambient Intelligence-Software and Applications, edited by Helena Lindgren et al..., pp. 21–29. Berlin: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, W-1000 BERLIN 33, GERMANY, 2016 info:cnr-pdr/source/autori:Alvarez-Garcia J.A.; Arcos Garcia A.; Chessa S.; Fortunati L.; Girolami M./titolo:Detecting social interactions in working environments through sensing technologies/titolo_volume:Ambient Intelligence-Software and Applications/curatori_volume:Helena Lindgren et al.../editore: /anno:2016 Ambient Intelligence-Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016) ISBN: 9783319401133 ISAmI idUS. Depósito de Investigación de la Universidad de Sevilla instname |
| Popis: | The knowledge about social ties among humans is important to optimize several aspects concerning networking in mobile social networks. Generally, ties among people are detected on the base of proximity of people. We discuss here how ties concerning colleagues in an office can be detected by leveraging on a number of sociological markers like co-activity, proximity, speech activity and similarity of locations visited. We present the results from two data gathering campaigns located in Italy and Spain. Ministerio de Economía y Competitividad TIN2013-46801-C4-1-R Junta de Andalucía TIC-8052 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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