Innovation and collaboration patterns in human-computer interaction research

Junius Gunaratne, Bharat Rao

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

Abstract

Research in human-computer interaction is dominated by institutions characterized by a deep involvement in the evolution of the field, and their ability to successfully network and collaborate with others. Network analysis and information flow visualization are useful techniques to help understand their influence and centrality. We use data visualizations of publication data to examine how collaborative research institutions are with each other in HCI research.

Original languageEnglish (US)
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationTheory, Design, Development and Practice - 18th International Conference, HCI International 2016, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer Verlag
Pages34-45
Number of pages12
ISBN (Print)9783319395098
DOIs
StatePublished - 2016
Event18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada
Duration: Jul 17 2016Jul 22 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9731
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on Human-Computer Interaction, HCI International 2016
Country/TerritoryCanada
CityToronto
Period7/17/167/22/16

Keywords

  • Collaboration
  • Data visualization
  • Innovation
  • Research productivity

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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