DocumentCode
3066842
Title
The model for emotional virtual persons in Mobile friend-mate social networks
Author
Huang, Lican
Author_Institution
Inst. of Networking & Distrib. Comput., Zhejiang Sci-Tech Univ., Hangzhou, China
fYear
2010
fDate
18-19 Oct. 2010
Firstpage
1
Lastpage
3
Abstract
This paper presents a novel model for emotional virtual social persons in Mobile friend-mate social networks. Unlike traditional friend-mate social networks in centralized data centers, this approach uses semantic P2P network technologies. The mobile phones as P2P nodes host the agents for virtual emotional social persons which simulate human´s actions and responses by computer algorithms, not only based on intelligence, but also on emotion like human being. The agents for emotional virtual social persons collect their own information such as sex, birthday, astrology, Enneagram, blood type, hobby, health and attributes of his six senses, etc., and arouse emotional actions based on this information. The model keeps the privacy information only in the person´s own mobile phone, which can avoid leaking the privacy information. The emotional agents for emotional virtual social persons join the virtual hierarchical tree networks (VIRGO) according to their roles or their interesting domains. And the agents can simulate general emotional reactions by emotional commands via the messages communications. We also discuss the model to mate the most successful friends based on the above information.
Keywords
mobile computing; peer-to-peer computing; social networking (online); software agents; virtual reality; emotional agents; mobile friend-mate social networks; mobile phones; semantic P2P network technologies; virtual emotional social persons; virtual hierarchical tree networks; Computational modeling; Mobile communication; Mobile computing; Organizations; Privacy; Social network services; Topology; emotional virtual social persons; semantic P2P networks; social agent;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Congress (GMC), 2010 Global
Conference_Location
Shanghai
Print_ISBN
978-1-4244-9001-1
Type
conf
DOI
10.1109/GMC.2010.5634597
Filename
5634597
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