Difference between revisions of "Bassetti2017"

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|Author(s)=Chiara Bassetti
 
|Author(s)=Chiara Bassetti
 
|Title=Social Interaction in Temporary Gatherings: A Sociological Taxonomy of Groups and Crowds for Computer Vision Practitioners
 
|Title=Social Interaction in Temporary Gatherings: A Sociological Taxonomy of Groups and Crowds for Computer Vision Practitioners
|Tag(s)=EMCA; Temporary gatherings; Groups; Crowds; Ethnomethodology; Computer vision; In Press;
+
|Tag(s)=EMCA; Temporary gatherings; Groups; Crowds; Ethnomethodology; Computer vision;
 
|Key=Bassetti2017
 
|Key=Bassetti2017
 +
|Publisher=Academic Press
 
|Year=2017
 
|Year=2017
 
|Language=English
 
|Language=English
 
|Chapter=2
 
|Chapter=2
|Journal=Group and Crowd Behavior for Computer Vision
+
|Booktitle=Group and Crowd Behavior for Computer Vision
 
|Pages=15–28
 
|Pages=15–28
 
|URL=https://www.sciencedirect.com/science/article/pii/B9780128092767000035
 
|URL=https://www.sciencedirect.com/science/article/pii/B9780128092767000035
 
|DOI=10.1016/B978-0-12-809276-7.00003-5
 
|DOI=10.1016/B978-0-12-809276-7.00003-5
|Abstract=The chapter focuses on sociological notions that can be embedded into computer vision methods and techniques. It offers, first, an overview on the sociological understandings of social interaction, thereby proposing a distinction between different kinds of interaction, namely unfocused, common-focused and jointly-focused (cf. ,  ;  ). Second, drawing also on such a typology, it presents a taxonomy of small to large social gatherings – that is, groups and crowds – and provides some clarifying examples. In doing so, it mainly draws on microsociological approaches such as interactionism (e.g., Goffman) and ethnomethodology and conversation analysis (EM/CA – e.g., Garfinkel), and it focuses on those notions that can be more effectively employed in computer vision practices. Overall, the chapter offers a deepened and layered understanding of group and crowd behavior in everyday social interaction.
+
|Abstract=The chapter focuses on sociological notions that can be embedded into computer vision methods and techniques. It offers, first, an overview on the sociological understandings of social interaction, thereby proposing a distinction between different kinds of interaction, namely unfocused, common-focused and jointly-focused. Second, drawing also on such a typology, it presents a taxonomy of small to large social gatherings – that is, groups and crowds – and provides some clarifying examples. In doing so, it mainly draws on microsociological approaches such as interactionism (e.g., Goffman) and ethnomethodology and conversation analysis (EM/CA – e.g., Garfinkel), and it focuses on those notions that can be more effectively employed in computer vision practices. Overall, the chapter offers a deepened and layered understanding of group and crowd behavior in everyday social interaction.
 
}}
 
}}

Latest revision as of 04:07, 6 July 2018

Bassetti2017
BibType INCOLLECTION
Key Bassetti2017
Author(s) Chiara Bassetti
Title Social Interaction in Temporary Gatherings: A Sociological Taxonomy of Groups and Crowds for Computer Vision Practitioners
Editor(s)
Tag(s) EMCA, Temporary gatherings, Groups, Crowds, Ethnomethodology, Computer vision
Publisher Academic Press
Year 2017
Language English
City
Month
Journal
Volume
Number
Pages 15–28
URL Link
DOI 10.1016/B978-0-12-809276-7.00003-5
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title Group and Crowd Behavior for Computer Vision
Chapter 2

Download BibTex

Abstract

The chapter focuses on sociological notions that can be embedded into computer vision methods and techniques. It offers, first, an overview on the sociological understandings of social interaction, thereby proposing a distinction between different kinds of interaction, namely unfocused, common-focused and jointly-focused. Second, drawing also on such a typology, it presents a taxonomy of small to large social gatherings – that is, groups and crowds – and provides some clarifying examples. In doing so, it mainly draws on microsociological approaches such as interactionism (e.g., Goffman) and ethnomethodology and conversation analysis (EM/CA – e.g., Garfinkel), and it focuses on those notions that can be more effectively employed in computer vision practices. Overall, the chapter offers a deepened and layered understanding of group and crowd behavior in everyday social interaction.

Notes