Collecting data of SNS user behavior to detect symptoms of excessive usage: Development of data collection application

Ploypailin Intapong, Tiranee Achalakul, Michiko Ohkura

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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 warned about the negative consequences of excessive SNS usage, including the potential of addictive behavior. Therefore, detecting the symptoms of excessive SNS usage is necessary. Data collection is an important first step for analyzing the usage behavior of SNSs. This article describes the development of a data collection application. We employed questionnaires to gather user experiences of SNS and APIs to retrieve SNS data by focusing on Twitter and Facebook. Unfortunately, these methods are limited. Self-report data might be inaccurate. Also, some data on SNSs might not be collectable by APIs. Thus, we will collect more data from internet service providers (ISPs). The obtained data from our application will be applied to detect the symptoms of excessive use of SNSs and develop prevention strategies.

本文言語English
ホスト出版物のタイトルAdvances in Ergonomics Modeling, Usability
出版社Springer Verlag
ページ89-99
ページ数11
486
ISBN(印刷版)9783319416847
DOI
出版ステータスPublished - 2017
イベントInternational Conference on Ergonomics Modeling, Usability and Special Populations, AHFE 2016 - Walt Disney World, United States
継続期間: 2016 7 272016 7 31

出版物シリーズ

名前Advances in Intelligent Systems and Computing
486
ISSN(印刷版)21945357

Other

OtherInternational Conference on Ergonomics Modeling, Usability and Special Populations, AHFE 2016
国/地域United States
CityWalt Disney World
Period16/7/2716/7/31

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

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