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アイテム

  1. 研究報告
  2. ユビキタスコンピューティングシステム(UBI)
  3. 2022
  4. 2022-UBI-073

Estimating Emotional States of Internet Users in Real-World Situation

https://ipsj.ixsq.nii.ac.jp/records/216746
https://ipsj.ixsq.nii.ac.jp/records/216746
deb052a7-8e05-40e8-a228-89cb6d575d58
名前 / ファイル ライセンス アクション
IPSJ-UBI22073030.pdf IPSJ-UBI22073030.pdf (783.9 kB)
Copyright (c) 2022 by the Information Processing Society of Japan
オープンアクセス
Item type SIG Technical Reports(1)
公開日 2022-02-28
タイトル
タイトル Estimating Emotional States of Internet Users in Real-World Situation
タイトル
言語 en
タイトル Estimating Emotional States of Internet Users in Real-World Situation
言語
言語 eng
キーワード
主題Scheme Other
主題 UBI研究会博士論文セッション
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
Keio University
著者所属
Keio University
著者所属
Keio University
著者所属
Keio University
著者所属
Keio University
著者所属(英)
en
Keio University
著者所属(英)
en
Keio University
著者所属(英)
en
Keio University
著者所属(英)
en
Keio University
著者所属(英)
en
Keio University
著者名 Wataru, Sasaki

× Wataru, Sasaki

Wataru, Sasaki

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Tadashi, Okoshi

× Tadashi, Okoshi

Tadashi, Okoshi

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Keisuke, Uehara

× Keisuke, Uehara

Keisuke, Uehara

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Yasuto, Nakanishi

× Yasuto, Nakanishi

Yasuto, Nakanishi

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Jin, Nakazwa

× Jin, Nakazwa

Jin, Nakazwa

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著者名(英) Wataru, Sasaki

× Wataru, Sasaki

en Wataru, Sasaki

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Tadashi, Okoshi

× Tadashi, Okoshi

en Tadashi, Okoshi

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Keisuke, Uehara

× Keisuke, Uehara

en Keisuke, Uehara

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Yasuto, Nakanishi

× Yasuto, Nakanishi

en Yasuto, Nakanishi

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Jin, Nakazwa

× Jin, Nakazwa

en Jin, Nakazwa

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論文抄録
内容記述タイプ Other
内容記述 With the advances in computer technology and the pervasiveness of the Internet, people's lives continue to change significantly. Most have multiple smart devices with a wide variety of applications. They communicate remotely via the Internet, and purchase diverse items, not limited to daily necessities, from online shops. In an era where people around the world are connected and share their circumstances via the Internet, detecting the emotional state of users has considerable potential to enable the provision of user-centric services tailored to specific user statuses and needs. However, considering the user's convenience, estimating Internet users' emotional states is difficult in real-world situations. To address the problem, due to almost all Internet users regularly using search engines, this study targets users' queries input to web search engines as an easily obtainable and non-invasive proxy feature to elucidate users' emotional states. Because web services typically store the historical logs of users' search queries on the server-side, they can be used immediately without awaiting the widespread adoption of new types of sensors. This study predicts users' online web behavior based on their emotional states estimated from large-scale real-world data. In addition, the weekly rhythm of the emotional state and the relationship between the number of new COVID-19 infected people and the ups and downs of the emotional state were clarified.
論文抄録(英)
内容記述タイプ Other
内容記述 With the advances in computer technology and the pervasiveness of the Internet, people's lives continue to change significantly. Most have multiple smart devices with a wide variety of applications. They communicate remotely via the Internet, and purchase diverse items, not limited to daily necessities, from online shops. In an era where people around the world are connected and share their circumstances via the Internet, detecting the emotional state of users has considerable potential to enable the provision of user-centric services tailored to specific user statuses and needs. However, considering the user's convenience, estimating Internet users' emotional states is difficult in real-world situations. To address the problem, due to almost all Internet users regularly using search engines, this study targets users' queries input to web search engines as an easily obtainable and non-invasive proxy feature to elucidate users' emotional states. Because web services typically store the historical logs of users' search queries on the server-side, they can be used immediately without awaiting the widespread adoption of new types of sensors. This study predicts users' online web behavior based on their emotional states estimated from large-scale real-world data. In addition, the weekly rhythm of the emotional state and the relationship between the number of new COVID-19 infected people and the ups and downs of the emotional state were clarified.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA11838947
書誌情報 研究報告ユビキタスコンピューティングシステム(UBI)

巻 2022-UBI-73, 号 30, p. 1-2, 発行日 2022-02-28
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8698
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
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