DocumentCode
602063
Title
An orange social platform for young people
Author
Chang, D.T.-H. ; Yu-Hsiu Hung ; Shu-Chun Li ; Hsaing-Hung Cheng ; Hao Wang ; Chia-Wei Chou ; Yen-Cheng Tang
Author_Institution
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear
2013
fDate
12-16 March 2013
Firstpage
325
Lastpage
327
Abstract
The high unemployment rate, decreasing salary, and housing pressure, etc. in Taiwan have led to unhappiness and frustration among people. To address this problem, the question our team proposes for exploring a possible technological solution is: “Is every one able to possess eudemonic well-being?” This study expects to identify a web/mobile-based Orange Technology application that enables the sense of eudemonic well-being of its users. Because happiness (i.e., a subjective measure of eudemonic well-being) is shown to be resulted from being socially connected, such application could be a “social communication and interactive tool” that handles interactions between a pair or group of users. The targeted users are those whose ages fall between the generations X and Y (twenties to forties). The adopted technologies include those for developing web platforms (e.g., web-based programming languages and protocols) and analyzing real time data (e.g., Ensemble Empirical Mode Decomposition, Cross-Correlation, and Relaxed Variable Kernel Density Estimation).
Keywords
Web services; data analysis; interactive programming; mobile computing; social sciences computing; Web platform development; Web-based Orange technology; data analysis; interactive tool; mobile-based Orange technology; orange social platform; social communication; user eudemonic well-being; user group interaction handling; young people; Data analysis; Diseases; Educational institutions; Empirical mode decomposition; Estimation; Kernel; Social implications of technology; eudemonic well-being; social web;
fLanguage
English
Publisher
ieee
Conference_Titel
Orange Technologies (ICOT), 2013 International Conference on
Conference_Location
Tainan
Print_ISBN
978-1-4673-5934-4
Type
conf
DOI
10.1109/ICOT.2013.6521224
Filename
6521224
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