DocumentCode :
1952415
Title :
An empirical study on symptoms of heavier Internet usage among young adults
Author :
Vishwanathan, Sai Preethi ; Malott, Levi ; Chellappan, Sriram ; Doraiswamy, P. Murali
Author_Institution :
Dept. of Comput. Sci., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
fYear :
2013
fDate :
15-18 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Understanding negative consequences of heavy Internet use on mental health is a topic that is gaining significant traction recently. A number of studies have investigated heavy Internet usage, especially among young adults in relation to online games, social media and email. While such studies do provide valuable insights, Internet usage so far has been characterized by means of self-reported surveys only that may suffer from errors and biases. In this paper, we report the findings of a two month empirical study on heavy Internet usage among students conducted at a college campus. The novelty of the study is that it is believed to be the first to use real Internet data that is collected continuously, passively and preserving privacy. A total of 69 Computer Science freshman students were surveyed for symptoms of heavy Internet usage, using the Internet Related Problem Scale, and their campus Internet usage was monitored (after appropriate anonymization procedures to maintain subject privacy). Statistical analysis revealed that several Internet usage features, such as instant messaging, entropy, gaming, web browsing, peer-to-peer usage, remote usage, and email usage exhibit significant correlations with symptoms of Internet addiction like introversion, craving, loss of control and tolerance. Although the study found that Facebook and Twitter usage did not show significant statistical correlations with symptoms of heavier Internet usage, it was found that students tending towards heavier Internet usage used those websites less. We believe that this study provides critical new insights into symptoms of heavier (possibly addictive) Internet usage among young adults, which is now a topic of significant concern to the mental health community today.
Keywords :
Internet; behavioural sciences computing; social networking (online); social sciences computing; statistical analysis; user modelling; Facebook usage; Internet addiction; Internet data; Internet related problem scale; Twitter usage; Web browsing; campus Internet usage; college campus; computer science freshman students; craving; email usage; entropy; gaming; heavy Internet usage; instant messaging; introversion; mental health community; online games; peer-to-peer usage; remote usage; social media; statistical analysis; statistical correlations; young adults; Aggregates; Correlation; Educational institutions; Electronic mail; Entropy; Internet; Twitter; Addiction; Internet; Mental Health; Privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Networks and Telecommuncations Systems (ANTS), 2013 IEEE International Conference on
Conference_Location :
Kattankulathur
ISSN :
2153-1676
Type :
conf
DOI :
10.1109/ANTS.2013.6802883
Filename :
6802883
Link To Document :
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