Effect of Presenting Co-occurrence Networks that Reflect the Activeness of Face-to-Face Discussions

Taisei Muraoka, Naruaki Ishikawa, Shigeto Ozawa, Hironori Egi*

*Corresponding author for this work

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

Abstract

This paper proposes a system that presents outlines of discussions in other groups in the same classroom as co-occurrence networks that reflect the activeness of discussions. The proposed system focuses on discussions conducted by two people during a lecture. The activeness of the discussions is analyzed using nonlinguistic acoustic information, which is calculated based on participants utterances collected by wearable devices. The co-occurrence networks are drawn with emphasizing the active parts of discussions by each group. We conducted an experiment to verify the effect to the participants by applying the proposed system to a lecture, and the effect of presenting the co-occurrence networks was examined in a subjective evaluation. The participants conducted another discussion after observing the co-occurrence networks of the previous discussion, and the second discussion was scored by the lecturer. As a result, the co-occurrence networks reflecting discussion activeness were not evaluated higher than those that did not reflect discussion activeness. This suggests that the variety of topics in the co-occurrence networks may stimulate discussion participants more effectively.

Original languageEnglish
Title of host publicationLearning and Collaboration Technologies
Subtitle of host publicationNew Challenges and Learning Experiences - 8th International Conference, LCT 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
EditorsPanayiotis Zaphiris, Andri Ioannou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages347-360
Number of pages14
ISBN (Print)9783030778880
DOIs
Publication statusPublished - 2021
Event8th International Conference on Learning and Collaboration Technologies, LCT 2021, held as Part of the 23rd International Conference, HCI International 2021 - Virtual, Online
Duration: 2021 Jul 242021 Jul 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12784 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Learning and Collaboration Technologies, LCT 2021, held as Part of the 23rd International Conference, HCI International 2021
CityVirtual, Online
Period21/7/2421/7/29

Keywords

  • Co-occurrence network
  • Group discussion
  • Nonlinguistic acoustic information
  • Word embedding

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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