An Explorative Study on the Virtual World: Investigating the Avatar Gender and Avatar Age Differences in their Social Interactions for ... View Full Text


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Article Info

DATE

2019-02-18

AUTHORS

Yulei Gavin Zhang, Mandy Yan Dang, Hsinchun Chen

ABSTRACT

This study investigates avatars’ gender and age differences in their help-seeking interactions in virtual worlds. Specifically, we conducted data collections from two popular help-supporting regions from Second Life, and performed two levels of analyses. We first examined the existence of the overall gender and age differences, and then compared and tested the detailed differences by creating three types of interaction networks based on avatar gender and avatar age, respectively. Overall, we found that the interaction networks of the same gender tended to be more centralized than the interaction networks with mixed genders. In addition, the interaction networks of the same age group tended to be more centralized than the interaction networks with mixed ages. We also found that old-aged avatars had significantly higher values than young-aged avatars in all measurement dimensions, indicating that old-aged avatars played more important roles in help-seeking interactions. More... »

PAGES

1-15

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10796-019-09904-2

DOI

http://dx.doi.org/10.1007/s10796-019-09904-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112218461


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10796-019-09904-2'

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10796-019-09904-2'


 

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