A Study on Voice Analysis by Withdrawal Symptoms Identification of Smartphone Addiction : 20 Male College Students 


Vol. 38,  No. 3, pp. 233-238, Mar.  2013


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  Abstract

In this paper, voice analysis is performed to propose a quantitative indication of withdrawal symptoms of smartphone addiction, applied to 20 males in their 20s. For this, their smartphones were confiscated during a certain period, and we collected samples of voice signals from them before and after that period. The pitch variation and intensity magnitude of the voice samples were used in the experiment to investigate their anxiety resulted from withdrawal symptoms. The experimental results showed an increase in pitch variation from 90% of samples, and a decrease in intensity magnitude from 95% of them. Finally, we carried out a study to find a statistical significance from the extracted experimental results through statistical analysis.

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  Cite this article

[IEEE Style]

B. Kim, M. Ka, D. Cho, "A Study on Voice Analysis by Withdrawal Symptoms Identification of Smartphone Addiction : 20 Male College Students," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 3, pp. 233-238, 2013. DOI: .

[ACM Style]

Bong-hyun Kim, Min-kyoung Ka, and Dong-uk Cho. 2013. A Study on Voice Analysis by Withdrawal Symptoms Identification of Smartphone Addiction : 20 Male College Students. The Journal of Korean Institute of Communications and Information Sciences, 38, 3, (2013), 233-238. DOI: .

[KICS Style]

Bong-hyun Kim, Min-kyoung Ka, Dong-uk Cho, "A Study on Voice Analysis by Withdrawal Symptoms Identification of Smartphone Addiction : 20 Male College Students," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 3, pp. 233-238, 3. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880