Human Cognitive Features to Define Correlation Between Depression and Internet Gaming Disorder

HARI MOHAN PANDEY; Abhishek  Jain

doi:10.1109/CSCWD49262.2021.9437639

Human Cognitive Features to Define Correlation Between Depression and Internet Gaming Disorder

HARI MOHAN PANDEY^*
, Abhishek Jain

^*Corresponding author for this work

Computer Science

Amity University, Noida

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

4 Citations (Scopus)

312 Downloads (Pure)

Abstract

With the advancement of technology and penetration of Internet in human’s life, gaming community also has shifted to online platform like massively multiplayer online role-playing games (MMORPGs) instead of physical games, causing multiple health hazards including behavioral and physical anomalies. Diagnosis of internet gaming disorder (IGD) is an arduous task using subjective assessments and need neurological methods to be used in identification. The umbrella of symptoms for IGD overlap with other neurological and behavioral disorders like depression, attention deficit hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), thus can share the methods for their identification. This paper explores relationship between depression and IGD symptoms using electroencephalography (EEG) signals recordings. We determine the power spectral density (SPD) of EEG recording for depression subjects. Rigorous experiments are conducted to analyze the proposed system. Experimental results reveal the coherence between the power for the beta band for depression and IGD subjects. The results suggest that due to the comorbidity of IGD and depression correlation are cohesively predictive.

Original language	English
Title of host publication	Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Editors	Weiming Shen, Jean-Paul Barthes, Junzhou Luo, Yanjun Shi, Jinghui Zhang
Publisher	IEEE Explore
Pages	888-893
Number of pages	6
ISBN (Electronic)	978-1-7281-6597-4, 978-1-7281-6596-7
ISBN (Print)	978-1-7281-6598-1
DOIs	https://doi.org/10.1109/CSCWD49262.2021.9437639
Publication status	E-pub ahead of print - 28 May 2021
Event	2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design - Dalian Haichuang Science and Technology Exchange Jianguo Hotel, Dalian , China Duration: 5 May 2021 → 7 May 2021 http://114.116.212.33/index.html#:~:text=The%202021%20IEEE%2024th%20International,results%20and%20discuss%20key%20problems.

Conference

Conference	2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design
Abbreviated title	IEEE CSCWD 2021
Country/Territory	China
City	Dalian
Period	5/05/21 → 7/05/21
Internet address	http://114.116.212.33/index.html#:~:text=The%202021%20IEEE%2024th%20International,results%20and%20discuss%20key%20problems.

Keywords

Depression
EEG
Gaming Addiction
Internet Gaming Disorder
Major Depressive Disorder

Access to Document

10.1109/CSCWD49262.2021.9437639

Paper_V2_HMPAccepted author manuscript, 327 KBLicence: CC BY-NC

DepNet: An Automated Intelligent System using Deep Learning for Video-based Depression Analysis
PANDEY, H. M., He, L., Guo, C., Tiwari, P., Su, R. & Dang, W., 6 Oct 2021, (E-pub ahead of print) In: International Journal of Intelligent Systems. INT2.20210482R3.
Research output: Contribution to journal › Article (journal) › peer-review

Open Access
File
33 Link opens in a new tab Citations (Scopus)

343 Downloads (Pure)
Intelligent System for Depression Scale Estimation with Facial Expressions and Case Study in Industrial Intelligence
PANDEY, H. M., He, L., Guo, C., Tiwari, P. & Dang, W., 8 Apr 2021, (E-pub ahead of print) In: International Journal of Intelligent Systems. INT2.20210090R1.
Research output: Contribution to journal › Article (journal) › peer-review

Open Access
File

Cite this

PANDEY, HARI. MOHAN., & Jain, A. (2021). Human Cognitive Features to Define Correlation Between Depression and Internet Gaming Disorder. In W. Shen, J.-P. Barthes, J. Luo, Y. Shi, & J. Zhang (Eds.), Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 888-893). IEEE Explore. Advance online publication. https://doi.org/10.1109/CSCWD49262.2021.9437639

PANDEY, HARI MOHAN ; Jain, Abhishek . / Human Cognitive Features to Define Correlation Between Depression and Internet Gaming Disorder. Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD). editor / Weiming Shen ; Jean-Paul Barthes ; Junzhou Luo ; Yanjun Shi ; Jinghui Zhang. IEEE Explore, 2021. pp. 888-893

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abstract = "With the advancement of technology and penetration of Internet in human{\textquoteright}s life, gaming community also has shifted to online platform like massively multiplayer online role-playing games (MMORPGs) instead of physical games, causing multiple health hazards including behavioral and physical anomalies. Diagnosis of internet gaming disorder (IGD) is an arduous task using subjective assessments and need neurological methods to be used in identification. The umbrella of symptoms for IGD overlap with other neurological and behavioral disorders like depression, attention deficit hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), thus can share the methods for their identification. This paper explores relationship between depression and IGD symptoms using electroencephalography (EEG) signals recordings. We determine the power spectral density (SPD) of EEG recording for depression subjects. Rigorous experiments are conducted to analyze the proposed system. Experimental results reveal the coherence between the power for the beta band for depression and IGD subjects. The results suggest that due to the comorbidity of IGD and depression correlation are cohesively predictive.",

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publisher = "IEEE Explore",

note = "2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, IEEE CSCWD 2021 ; Conference date: 05-05-2021 Through 07-05-2021",

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PANDEY, HARIMOHAN & Jain, A 2021, Human Cognitive Features to Define Correlation Between Depression and Internet Gaming Disorder. in W Shen, J-P Barthes, J Luo, Y Shi & J Zhang (eds), Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE Explore, pp. 888-893, 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, Dalian , China, 5/05/21. https://doi.org/10.1109/CSCWD49262.2021.9437639

Human Cognitive Features to Define Correlation Between Depression and Internet Gaming Disorder. / PANDEY, HARI MOHAN; Jain, Abhishek .
Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD). ed. / Weiming Shen; Jean-Paul Barthes; Junzhou Luo; Yanjun Shi; Jinghui Zhang. IEEE Explore, 2021. p. 888-893.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

TY - GEN

T1 - Human Cognitive Features to Define Correlation Between Depression and Internet Gaming Disorder

AU - PANDEY, HARI MOHAN

AU - Jain, Abhishek

PY - 2021/5/28

Y1 - 2021/5/28

N2 - With the advancement of technology and penetration of Internet in human’s life, gaming community also has shifted to online platform like massively multiplayer online role-playing games (MMORPGs) instead of physical games, causing multiple health hazards including behavioral and physical anomalies. Diagnosis of internet gaming disorder (IGD) is an arduous task using subjective assessments and need neurological methods to be used in identification. The umbrella of symptoms for IGD overlap with other neurological and behavioral disorders like depression, attention deficit hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), thus can share the methods for their identification. This paper explores relationship between depression and IGD symptoms using electroencephalography (EEG) signals recordings. We determine the power spectral density (SPD) of EEG recording for depression subjects. Rigorous experiments are conducted to analyze the proposed system. Experimental results reveal the coherence between the power for the beta band for depression and IGD subjects. The results suggest that due to the comorbidity of IGD and depression correlation are cohesively predictive.

AB - With the advancement of technology and penetration of Internet in human’s life, gaming community also has shifted to online platform like massively multiplayer online role-playing games (MMORPGs) instead of physical games, causing multiple health hazards including behavioral and physical anomalies. Diagnosis of internet gaming disorder (IGD) is an arduous task using subjective assessments and need neurological methods to be used in identification. The umbrella of symptoms for IGD overlap with other neurological and behavioral disorders like depression, attention deficit hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), thus can share the methods for their identification. This paper explores relationship between depression and IGD symptoms using electroencephalography (EEG) signals recordings. We determine the power spectral density (SPD) of EEG recording for depression subjects. Rigorous experiments are conducted to analyze the proposed system. Experimental results reveal the coherence between the power for the beta band for depression and IGD subjects. The results suggest that due to the comorbidity of IGD and depression correlation are cohesively predictive.

KW - Depression

KW - EEG

KW - Gaming Addiction

KW - Internet Gaming Disorder

KW - Major Depressive Disorder

U2 - 10.1109/CSCWD49262.2021.9437639

DO - 10.1109/CSCWD49262.2021.9437639

M3 - Conference proceeding (ISBN)

SN - 978-1-7281-6598-1

SP - 888

EP - 893

BT - Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

A2 - Shen, Weiming

A2 - Barthes, Jean-Paul

A2 - Luo, Junzhou

A2 - Shi, Yanjun

A2 - Zhang, Jinghui

PB - IEEE Explore

T2 - 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design

Y2 - 5 May 2021 through 7 May 2021

ER -

PANDEY HARIMOHAN, Jain A. Human Cognitive Features to Define Correlation Between Depression and Internet Gaming Disorder. In Shen W, Barthes JP, Luo J, Shi Y, Zhang J, editors, Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE Explore. 2021. p. 888-893 Epub 2021 May 28. doi: 10.1109/CSCWD49262.2021.9437639

Human Cognitive Features to Define Correlation Between Depression and Internet Gaming Disorder

Abstract

Conference

Keywords

Access to Document

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Research output

DepNet: An Automated Intelligent System using Deep Learning for Video-based Depression Analysis

Intelligent System for Depression Scale Estimation with Facial Expressions and Case Study in Industrial Intelligence

Cite this