Proposal of a visualization method to support informal communication using twitter attributes

Ryota Sasajima, Kohei Otake, Makoto Oka, Akito Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a method to visualize information regarding hobbies and interests of a person inferred from tweets on Twitter to support informal communication in the real world. Analysis of the current states and experiments on informal communication clarified that it is important and useful for a person to know information such as hobbies, interests and other attributes which indicate background of his/her partner to start and maintain a first and good meeting. Through experimental results, we demonstrated that our proposed social profile diagram was effective for informal communication.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages107-114
Number of pages8
Volume9172
ISBN (Print)9783319206110
DOIs
Publication statusPublished - 2015
Event17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: 2015 Aug 22015 Aug 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9172
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other17th International Conference on Human-Computer Interaction, HCI International 2015
CountryUnited States
CityLos Angeles
Period15/8/215/8/7

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Keywords

  • Informal communication
  • Social networking service
  • Visualization

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Sasajima, R., Otake, K., Oka, M., & Sakurai, A. (2015). Proposal of a visualization method to support informal communication using twitter attributes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9172, pp. 107-114). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9172). Springer Verlag. https://doi.org/10.1007/978-3-319-20612-7_11