Spatio-temporal visualization of tweet data around Tokyo disneyland using VR

Kaya Okada, Mitsuo Yoshida, Takayuki Itoh, Tobias Czauderna, Kingsley Stephens

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Abstract

Social media analysis is important to understand people behavior. Human behavior in social media is often related to time and location, which is often difficult to understand the characteristics appropriately and quickly. We chose to visualize the date applying a virtual reality technology, which makes us easier to explore the data interactively and intuitively. This poster presents our visualization with tweets of microblogs with location information. Our system includes a three-dimensional temporal visualization which consists of the two-dimensional map and a time axis. In particular, we aggregate the number of tweets of each coordinate, calculate scores and display them as piled cubes. We highlight only specific cubes so that users can understand the overall tendency of datasets. We also developed user interfaces for operating these cubes and panels which indicate details of tweets.

Original languageEnglish
Title of host publicationIUI’18 Companion of the 23rd International Conference on Intelligent User Interfaces
Subtitle of host publicationMarch 7-11, 2018, Tokyo, Japan
EditorsShlomo Berkovsky , Yoshinori Hijikata, Jun Rekimoto, Li Chen, Masahiro Hamasaki, Masataka Imura
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)9781450355711
DOIs
Publication statusPublished - 2018
EventInternational Conference on Intelligent User Interfaces 2018 - Tokyo, Japan
Duration: 7 Mar 201811 Mar 2018
Conference number: 23rd
https://iui.acm.org/2018/

Conference

ConferenceInternational Conference on Intelligent User Interfaces 2018
Abbreviated title IUI 2018
CountryJapan
CityTokyo
Period7/03/1811/03/18
Internet address

Keywords

  • Immersive visualization
  • Temporal visualization
  • Tweet
  • Virtual reality

Cite this

Okada, K., Yoshida, M., Itoh, T., Czauderna, T., & Stephens, K. (2018). Spatio-temporal visualization of tweet data around Tokyo disneyland using VR. In S. Berkovsky , Y. Hijikata, J. Rekimoto, L. Chen, M. Hamasaki, & M. Imura (Eds.), IUI’18 Companion of the 23rd International Conference on Intelligent User Interfaces: March 7-11, 2018, Tokyo, Japan [a47] New York NY USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/3180308.3180356
Okada, Kaya ; Yoshida, Mitsuo ; Itoh, Takayuki ; Czauderna, Tobias ; Stephens, Kingsley. / Spatio-temporal visualization of tweet data around Tokyo disneyland using VR. IUI’18 Companion of the 23rd International Conference on Intelligent User Interfaces: March 7-11, 2018, Tokyo, Japan. editor / Shlomo Berkovsky ; Yoshinori Hijikata ; Jun Rekimoto ; Li Chen ; Masahiro Hamasaki ; Masataka Imura . New York NY USA : Association for Computing Machinery (ACM), 2018.
@inproceedings{211f66bf8fad41138a5e348536ee58c9,
title = "Spatio-temporal visualization of tweet data around Tokyo disneyland using VR",
abstract = "Social media analysis is important to understand people behavior. Human behavior in social media is often related to time and location, which is often difficult to understand the characteristics appropriately and quickly. We chose to visualize the date applying a virtual reality technology, which makes us easier to explore the data interactively and intuitively. This poster presents our visualization with tweets of microblogs with location information. Our system includes a three-dimensional temporal visualization which consists of the two-dimensional map and a time axis. In particular, we aggregate the number of tweets of each coordinate, calculate scores and display them as piled cubes. We highlight only specific cubes so that users can understand the overall tendency of datasets. We also developed user interfaces for operating these cubes and panels which indicate details of tweets.",
keywords = "Immersive visualization, Temporal visualization, Tweet, Virtual reality",
author = "Kaya Okada and Mitsuo Yoshida and Takayuki Itoh and Tobias Czauderna and Kingsley Stephens",
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language = "English",
editor = "{Berkovsky }, {Shlomo } and Hijikata, {Yoshinori } and Rekimoto, {Jun } and Chen, {Li } and Hamasaki, {Masahiro } and {Imura }, {Masataka }",
booktitle = "IUI’18 Companion of the 23rd International Conference on Intelligent User Interfaces",
publisher = "Association for Computing Machinery (ACM)",
address = "United States of America",

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Okada, K, Yoshida, M, Itoh, T, Czauderna, T & Stephens, K 2018, Spatio-temporal visualization of tweet data around Tokyo disneyland using VR. in S Berkovsky , Y Hijikata, J Rekimoto, L Chen, M Hamasaki & M Imura (eds), IUI’18 Companion of the 23rd International Conference on Intelligent User Interfaces: March 7-11, 2018, Tokyo, Japan., a47, Association for Computing Machinery (ACM), New York NY USA, International Conference on Intelligent User Interfaces 2018, Tokyo, Japan, 7/03/18. https://doi.org/10.1145/3180308.3180356

Spatio-temporal visualization of tweet data around Tokyo disneyland using VR. / Okada, Kaya; Yoshida, Mitsuo; Itoh, Takayuki; Czauderna, Tobias; Stephens, Kingsley.

IUI’18 Companion of the 23rd International Conference on Intelligent User Interfaces: March 7-11, 2018, Tokyo, Japan. ed. / Shlomo Berkovsky ; Yoshinori Hijikata; Jun Rekimoto; Li Chen; Masahiro Hamasaki; Masataka Imura . New York NY USA : Association for Computing Machinery (ACM), 2018. a47.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

TY - GEN

T1 - Spatio-temporal visualization of tweet data around Tokyo disneyland using VR

AU - Okada, Kaya

AU - Yoshida, Mitsuo

AU - Itoh, Takayuki

AU - Czauderna, Tobias

AU - Stephens, Kingsley

PY - 2018

Y1 - 2018

N2 - Social media analysis is important to understand people behavior. Human behavior in social media is often related to time and location, which is often difficult to understand the characteristics appropriately and quickly. We chose to visualize the date applying a virtual reality technology, which makes us easier to explore the data interactively and intuitively. This poster presents our visualization with tweets of microblogs with location information. Our system includes a three-dimensional temporal visualization which consists of the two-dimensional map and a time axis. In particular, we aggregate the number of tweets of each coordinate, calculate scores and display them as piled cubes. We highlight only specific cubes so that users can understand the overall tendency of datasets. We also developed user interfaces for operating these cubes and panels which indicate details of tweets.

AB - Social media analysis is important to understand people behavior. Human behavior in social media is often related to time and location, which is often difficult to understand the characteristics appropriately and quickly. We chose to visualize the date applying a virtual reality technology, which makes us easier to explore the data interactively and intuitively. This poster presents our visualization with tweets of microblogs with location information. Our system includes a three-dimensional temporal visualization which consists of the two-dimensional map and a time axis. In particular, we aggregate the number of tweets of each coordinate, calculate scores and display them as piled cubes. We highlight only specific cubes so that users can understand the overall tendency of datasets. We also developed user interfaces for operating these cubes and panels which indicate details of tweets.

KW - Immersive visualization

KW - Temporal visualization

KW - Tweet

KW - Virtual reality

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M3 - Conference Paper

BT - IUI’18 Companion of the 23rd International Conference on Intelligent User Interfaces

A2 - Berkovsky , Shlomo

A2 - Hijikata, Yoshinori

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A2 - Hamasaki, Masahiro

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PB - Association for Computing Machinery (ACM)

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Okada K, Yoshida M, Itoh T, Czauderna T, Stephens K. Spatio-temporal visualization of tweet data around Tokyo disneyland using VR. In Berkovsky S, Hijikata Y, Rekimoto J, Chen L, Hamasaki M, Imura M, editors, IUI’18 Companion of the 23rd International Conference on Intelligent User Interfaces: March 7-11, 2018, Tokyo, Japan. New York NY USA: Association for Computing Machinery (ACM). 2018. a47 https://doi.org/10.1145/3180308.3180356