Abstract
The purposes of this study were to explore psychological satisfaction and emotional reaction of Internet users through emotional perspectives and to discuss whether Internet use behaviors would lead to addiction to the Internet. From previous literature and studies, it was found that most studies explored this topic by testing hypotheses. The study used data mining to identify association rules among affective ambivalence, Internet use behavior and Internet addiction. Online and paper questionnaires were distributed for this study. Online questionnaires were put on BBS, Facebook and major forums; paper questionnaires were distributed via convenience sampling. A total of 565 questionnaires were recovered. Among these, 502 copies of the questionnaires were valid, making the effective response rate about 88%. It was found from the affective ambivalence that different use behaviors would result in different affective states. Different individuals would also show different behavior and creativity.
| Original language | English |
|---|---|
| Title of host publication | IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ISIC 2014 |
| Subtitle of host publication | 2014 IEEE International Symposium on Independent Computing, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479944774 |
| DOIs | |
| Publication status | Published - 2015 Jan 15 |
| Event | 2014 IEEE International Symposium on Independent Computing, ISIC 2014 - Orlando, United States Duration: 2014 Dec 9 → 2014 Dec 12 |
Publication series
| Name | IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ISIC 2014: 2014 IEEE International Symposium on Independent Computing, Proceedings |
|---|
Other
| Other | 2014 IEEE International Symposium on Independent Computing, ISIC 2014 |
|---|---|
| Country | United States |
| City | Orlando |
| Period | 14-12-09 → 14-12-12 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Science(all)
Cite this
}
Using data mining technology to explore Internet addiction behavioral patterns. / Huang, Mu-Jung; Cheng, Chin Chun; Chen, Mu Yen.
IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ISIC 2014: 2014 IEEE International Symposium on Independent Computing, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. 7011757 (IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ISIC 2014: 2014 IEEE International Symposium on Independent Computing, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Using data mining technology to explore Internet addiction behavioral patterns
AU - Huang, Mu-Jung
AU - Cheng, Chin Chun
AU - Chen, Mu Yen
PY - 2015/1/15
Y1 - 2015/1/15
N2 - The purposes of this study were to explore psychological satisfaction and emotional reaction of Internet users through emotional perspectives and to discuss whether Internet use behaviors would lead to addiction to the Internet. From previous literature and studies, it was found that most studies explored this topic by testing hypotheses. The study used data mining to identify association rules among affective ambivalence, Internet use behavior and Internet addiction. Online and paper questionnaires were distributed for this study. Online questionnaires were put on BBS, Facebook and major forums; paper questionnaires were distributed via convenience sampling. A total of 565 questionnaires were recovered. Among these, 502 copies of the questionnaires were valid, making the effective response rate about 88%. It was found from the affective ambivalence that different use behaviors would result in different affective states. Different individuals would also show different behavior and creativity.
AB - The purposes of this study were to explore psychological satisfaction and emotional reaction of Internet users through emotional perspectives and to discuss whether Internet use behaviors would lead to addiction to the Internet. From previous literature and studies, it was found that most studies explored this topic by testing hypotheses. The study used data mining to identify association rules among affective ambivalence, Internet use behavior and Internet addiction. Online and paper questionnaires were distributed for this study. Online questionnaires were put on BBS, Facebook and major forums; paper questionnaires were distributed via convenience sampling. A total of 565 questionnaires were recovered. Among these, 502 copies of the questionnaires were valid, making the effective response rate about 88%. It was found from the affective ambivalence that different use behaviors would result in different affective states. Different individuals would also show different behavior and creativity.
UR - http://www.scopus.com/inward/record.url?scp=84923112416&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84923112416&partnerID=8YFLogxK
U2 - 10.1109/INDCOMP.2014.7011757
DO - 10.1109/INDCOMP.2014.7011757
M3 - Conference contribution
AN - SCOPUS:84923112416
T3 - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ISIC 2014: 2014 IEEE International Symposium on Independent Computing, Proceedings
BT - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ISIC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -