Abstract
Excessive usage of the Internet is known to cause many physical and mental problems which could eventually lead to Internet Addiction (IA). Knowing when to stop and recognizing the symptoms of problematic use is crucial in promoting a healthy use of the Internet. The purpose of this study is to develop an evaluation model that can be used to evaluate and analyze the usage of the Internet, and users' dependency level on the Internet. This study is divided into 2 major tasks: the first is focused on a review of several existing software applications which can track and trace online activities. Based on this review, an adapted model which evaluates Internet usage is proposed. The second major task assesses the levels of usage: the levels of '1' to '5' respectively describe 'not dependent', 'sufficient use', 'mild dependence', 'excessive use' and 'extreme' Internet Addiction. This paper proposes an evaluation model which analyses and evaluates Internet usage by tracing users' online activities. The types of Internet usage is defined as 5 dependency levels by focusing on the symptoms of problematic usage. In conclusion, this study attempts to propose the way for Internet users to focus on their Internet usage strategy. It helps them identify when they need to stop using the Internet, as well as choose a healthier strategy when using the Internet. Hence, Internet users are able to ultimately prevent or control Internet Addiction disorder.
| Original language | English |
|---|---|
| Pages (from-to) | 262-270 |
| Number of pages | 9 |
| Journal | International Journal of Digital Content Technology and its Applications |
| Volume | 6 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 01 Feb 2012 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Networks and Communications
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Towards a better way to evaluate internet usage. / Haghighi, Boshra Talebi; Othman, Marini; Hashim, Faridah Hanim.
In: International Journal of Digital Content Technology and its Applications, Vol. 6, No. 3, 01.02.2012, p. 262-270.Research output: Contribution to journal › Review article
TY - JOUR
T1 - Towards a better way to evaluate internet usage
AU - Haghighi, Boshra Talebi
AU - Othman, Marini
AU - Hashim, Faridah Hanim
PY - 2012/2/1
Y1 - 2012/2/1
N2 - Excessive usage of the Internet is known to cause many physical and mental problems which could eventually lead to Internet Addiction (IA). Knowing when to stop and recognizing the symptoms of problematic use is crucial in promoting a healthy use of the Internet. The purpose of this study is to develop an evaluation model that can be used to evaluate and analyze the usage of the Internet, and users' dependency level on the Internet. This study is divided into 2 major tasks: the first is focused on a review of several existing software applications which can track and trace online activities. Based on this review, an adapted model which evaluates Internet usage is proposed. The second major task assesses the levels of usage: the levels of '1' to '5' respectively describe 'not dependent', 'sufficient use', 'mild dependence', 'excessive use' and 'extreme' Internet Addiction. This paper proposes an evaluation model which analyses and evaluates Internet usage by tracing users' online activities. The types of Internet usage is defined as 5 dependency levels by focusing on the symptoms of problematic usage. In conclusion, this study attempts to propose the way for Internet users to focus on their Internet usage strategy. It helps them identify when they need to stop using the Internet, as well as choose a healthier strategy when using the Internet. Hence, Internet users are able to ultimately prevent or control Internet Addiction disorder.
AB - Excessive usage of the Internet is known to cause many physical and mental problems which could eventually lead to Internet Addiction (IA). Knowing when to stop and recognizing the symptoms of problematic use is crucial in promoting a healthy use of the Internet. The purpose of this study is to develop an evaluation model that can be used to evaluate and analyze the usage of the Internet, and users' dependency level on the Internet. This study is divided into 2 major tasks: the first is focused on a review of several existing software applications which can track and trace online activities. Based on this review, an adapted model which evaluates Internet usage is proposed. The second major task assesses the levels of usage: the levels of '1' to '5' respectively describe 'not dependent', 'sufficient use', 'mild dependence', 'excessive use' and 'extreme' Internet Addiction. This paper proposes an evaluation model which analyses and evaluates Internet usage by tracing users' online activities. The types of Internet usage is defined as 5 dependency levels by focusing on the symptoms of problematic usage. In conclusion, this study attempts to propose the way for Internet users to focus on their Internet usage strategy. It helps them identify when they need to stop using the Internet, as well as choose a healthier strategy when using the Internet. Hence, Internet users are able to ultimately prevent or control Internet Addiction disorder.
UR - http://www.scopus.com/inward/record.url?scp=84857975551&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84857975551&partnerID=8YFLogxK
U2 - 10.4156/jdcta.vol6.issue3.31
DO - 10.4156/jdcta.vol6.issue3.31
M3 - Review article
AN - SCOPUS:84857975551
VL - 6
SP - 262
EP - 270
JO - International Journal of Digital Content Technology and its Applications
JF - International Journal of Digital Content Technology and its Applications
SN - 1975-9339
IS - 3
ER -