A relationship between learning by teaching with teachable chatbots and the big 5

Koya Iwase, Kota Gushima, Tatsuo Nakajima

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

Abstract

Learning through teaching robots has been shown in some studies to produce learning effects similar to those of teaching humans. However, it cannot be said that these learning tools, known as teachable agents, are effective for all users. This is because most of the studies on teachable agents have been conducted on younger children who tend to prefer to take care of others. We hypothesized that if adult subjects interacted with these agents, then their learning experiences would differ based on their individual personalities. Therefore, in this study, we developed a novel-style teachable chatbot and investigated the relationship between the evaluation of learning using this system and personality.

Original languageEnglish
Title of host publicationLifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages191-194
Number of pages4
ISBN (Electronic)9781665418751
DOIs
Publication statusPublished - 2021 Mar 9
Event3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021 - Nara, Japan
Duration: 2021 Mar 92021 Mar 11

Publication series

NameLifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies

Conference

Conference3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021
CountryJapan
CityNara
Period21/3/921/3/11

Keywords

  • Big 5
  • Chatbot
  • Human agent interaction
  • Teachable agents

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health(social science)
  • Biochemistry
  • Artificial Intelligence
  • Computer Science Applications

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