Assessing symptoms of excessive SNS usage based on user behavior and emotion

Ploypailin Intapong; Tipporn Laohakangvalvit; Michiko Ohkura; Tiranee Achalakul

doi:10.1145/2993148.2997620

Assessing symptoms of excessive SNS usage based on user behavior and emotion

Ploypailin Intapong, Tipporn Laohakangvalvit, Michiko Ohkura, Tiranee Achalakul

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The worldwide use of social networking sites (SNSs) continues to dramatically increase. People are spending unexpected and unprecedented amounts of time online. However, many studies have issued warnings about the negative consequences of excessive SNS usage, including the risk of addictive behavior. This research is conducted to detect the symptoms of excessive SNS use by studying user behaviors and emotions in SNSs. We employed questionnaires, SNS APIs, and biological signals as methods. The data obtained from the study will characterize SNS usage to detect excessive use. Finally, the analytic results will be applied for developing prevention strategies to increase the awareness of the risks of excessive SNS usage.

Original language	English
Title of host publication	ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction
Publisher	Association for Computing Machinery, Inc
Pages	559-562
Number of pages	4
ISBN (Electronic)	9781450345569
DOIs	https://doi.org/10.1145/2993148.2997620
Publication status	Published - 2016 Oct 31
Event	18th ACM International Conference on Multimodal Interaction, ICMI 2016 - Tokyo, Japan Duration: 2016 Nov 12 → 2016 Nov 16

Other

Other	18th ACM International Conference on Multimodal Interaction, ICMI 2016
Country/Territory	Japan
City	Tokyo
Period	16/11/12 → 16/11/16

Keywords

SNS
Social network addiction
Social networking sites
User behavior

ASJC Scopus subject areas

Computer Science Applications
Human-Computer Interaction
Hardware and Architecture
Computer Vision and Pattern Recognition

Access to Document

10.1145/2993148.2997620

Cite this

Assessing symptoms of excessive SNS usage based on user behavior and emotion. / Intapong, Ploypailin; Laohakangvalvit, Tipporn; Ohkura, Michiko et al.

ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, 2016. p. 559-562.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Intapong, P, Laohakangvalvit, T, Ohkura, M & Achalakul, T 2016, Assessing symptoms of excessive SNS usage based on user behavior and emotion. in ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, pp. 559-562, 18th ACM International Conference on Multimodal Interaction, ICMI 2016, Tokyo, Japan, 16/11/12. https://doi.org/10.1145/2993148.2997620

@inproceedings{8525db1550a04fd7bcd2654bcf1e5738,

title = "Assessing symptoms of excessive SNS usage based on user behavior and emotion",

abstract = "The worldwide use of social networking sites (SNSs) continues to dramatically increase. People are spending unexpected and unprecedented amounts of time online. However, many studies have issued warnings about the negative consequences of excessive SNS usage, including the risk of addictive behavior. This research is conducted to detect the symptoms of excessive SNS use by studying user behaviors and emotions in SNSs. We employed questionnaires, SNS APIs, and biological signals as methods. The data obtained from the study will characterize SNS usage to detect excessive use. Finally, the analytic results will be applied for developing prevention strategies to increase the awareness of the risks of excessive SNS usage.",

keywords = "SNS, Social network addiction, Social networking sites, User behavior",

author = "Ploypailin Intapong and Tipporn Laohakangvalvit and Michiko Ohkura and Tiranee Achalakul",

year = "2016",

month = oct,

day = "31",

doi = "10.1145/2993148.2997620",

language = "English",

pages = "559--562",

booktitle = "ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction",

publisher = "Association for Computing Machinery, Inc",

note = "18th ACM International Conference on Multimodal Interaction, ICMI 2016 ; Conference date: 12-11-2016 Through 16-11-2016",

}

TY - GEN

T1 - Assessing symptoms of excessive SNS usage based on user behavior and emotion

AU - Intapong, Ploypailin

AU - Laohakangvalvit, Tipporn

AU - Ohkura, Michiko

AU - Achalakul, Tiranee

PY - 2016/10/31

Y1 - 2016/10/31

N2 - The worldwide use of social networking sites (SNSs) continues to dramatically increase. People are spending unexpected and unprecedented amounts of time online. However, many studies have issued warnings about the negative consequences of excessive SNS usage, including the risk of addictive behavior. This research is conducted to detect the symptoms of excessive SNS use by studying user behaviors and emotions in SNSs. We employed questionnaires, SNS APIs, and biological signals as methods. The data obtained from the study will characterize SNS usage to detect excessive use. Finally, the analytic results will be applied for developing prevention strategies to increase the awareness of the risks of excessive SNS usage.

AB - The worldwide use of social networking sites (SNSs) continues to dramatically increase. People are spending unexpected and unprecedented amounts of time online. However, many studies have issued warnings about the negative consequences of excessive SNS usage, including the risk of addictive behavior. This research is conducted to detect the symptoms of excessive SNS use by studying user behaviors and emotions in SNSs. We employed questionnaires, SNS APIs, and biological signals as methods. The data obtained from the study will characterize SNS usage to detect excessive use. Finally, the analytic results will be applied for developing prevention strategies to increase the awareness of the risks of excessive SNS usage.

KW - SNS

KW - Social network addiction

KW - Social networking sites

KW - User behavior

UR - http://www.scopus.com/inward/record.url?scp=85016612792&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85016612792&partnerID=8YFLogxK

U2 - 10.1145/2993148.2997620

DO - 10.1145/2993148.2997620

M3 - Conference contribution

AN - SCOPUS:85016612792

SP - 559

EP - 562

BT - ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction

PB - Association for Computing Machinery, Inc

T2 - 18th ACM International Conference on Multimodal Interaction, ICMI 2016

Y2 - 12 November 2016 through 16 November 2016

ER -

Assessing symptoms of excessive SNS usage based on user behavior and emotion

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this