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Socially-Conditioned Task Reasoning for a Virtual Tutoring Agent

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Title: Socially-Conditioned Task Reasoning for a Virtual Tutoring Agent
Language: English
Authors: Zian Zhao, Michael Madaio, Florian Pecune, Yoichi Matsuyama, Justine Cassell
Source: Grantee Submission. 2018.
Peer Reviewed: Y
Page Count: 3
Publication Date: 2018
Sponsoring Agency: National Science Foundation (NSF)
Institute of Education Sciences (ED)
Contract Number: 1523162
R305B150008
Document Type: Speeches/Meeting Papers
Reports - Research
Descriptors: Tutors, Peer Teaching, Programmed Tutoring, Intelligent Tutoring Systems, Computer Assisted Instruction, Interpersonal Competence, Social Cognition, Thinking Skills, Interpersonal Relationship, Artificial Intelligence
Abstract: Virtual agents have been shown to be more effective when incorporating social factors such as trust into task action selection. However, there has been less work on how virtual tutoring agents can incorporate social factors into pedagogical action selection. We propose and evaluate how a socially-conditioned task reasoner for a virtual pedagogical agent can incorporate both task and social factors into task reasoning. Our work contributes to the autonomous agent community by providing further evidence that incorporating information about dyadic social factors (e.g. rapport) can be beneficial for agents' task reasoning in the case of a tutoring agent. [This paper was published in: "Proc. of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden, July 10-15, 2018," edited by M. Dastani, G. Sukthankar, E. André, S. Koenig, International Foundation for Autonomous Agents and Multiagent Systems, 2018, pp. 2265-2267. Additional funding provided by the IT R&D program of MSIP/IITP.]
Abstractor: As Provided
IES Funded: Yes
Entry Date: 2024
Accession Number: ED663182
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED663182
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PubType: Conference
PubTypeId: conference
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  Data: Socially-Conditioned Task Reasoning for a Virtual Tutoring Agent
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  Data: <searchLink fieldCode="AR" term="%22Zian+Zhao%22">Zian Zhao</searchLink><br /><searchLink fieldCode="AR" term="%22Michael+Madaio%22">Michael Madaio</searchLink><br /><searchLink fieldCode="AR" term="%22Florian+Pecune%22">Florian Pecune</searchLink><br /><searchLink fieldCode="AR" term="%22Yoichi+Matsuyama%22">Yoichi Matsuyama</searchLink><br /><searchLink fieldCode="AR" term="%22Justine+Cassell%22">Justine Cassell</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Grantee+Submission%22"><i>Grantee Submission</i></searchLink>. 2018.
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  Data: Y
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  Data: 3
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  Label: Publication Date
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  Data: 2018
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  Data: National Science Foundation (NSF)<br />Institute of Education Sciences (ED)
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  Data: 1523162<br />R305B150008
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  Data: Speeches/Meeting Papers<br />Reports - Research
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  Label: Descriptors
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  Data: <searchLink fieldCode="DE" term="%22Tutors%22">Tutors</searchLink><br /><searchLink fieldCode="DE" term="%22Peer+Teaching%22">Peer Teaching</searchLink><br /><searchLink fieldCode="DE" term="%22Programmed+Tutoring%22">Programmed Tutoring</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+Tutoring+Systems%22">Intelligent Tutoring Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Instruction%22">Computer Assisted Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Interpersonal+Competence%22">Interpersonal Competence</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Cognition%22">Social Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Thinking+Skills%22">Thinking Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Interpersonal+Relationship%22">Interpersonal Relationship</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Virtual agents have been shown to be more effective when incorporating social factors such as trust into task action selection. However, there has been less work on how virtual tutoring agents can incorporate social factors into pedagogical action selection. We propose and evaluate how a socially-conditioned task reasoner for a virtual pedagogical agent can incorporate both task and social factors into task reasoning. Our work contributes to the autonomous agent community by providing further evidence that incorporating information about dyadic social factors (e.g. rapport) can be beneficial for agents' task reasoning in the case of a tutoring agent. [This paper was published in: "Proc. of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden, July 10-15, 2018," edited by M. Dastani, G. Sukthankar, E. André, S. Koenig, International Foundation for Autonomous Agents and Multiagent Systems, 2018, pp. 2265-2267. Additional funding provided by the IT R&D program of MSIP/IITP.]
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  Data: 2024
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED663182
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 3
    Subjects:
      – SubjectFull: Tutors
        Type: general
      – SubjectFull: Peer Teaching
        Type: general
      – SubjectFull: Programmed Tutoring
        Type: general
      – SubjectFull: Intelligent Tutoring Systems
        Type: general
      – SubjectFull: Computer Assisted Instruction
        Type: general
      – SubjectFull: Interpersonal Competence
        Type: general
      – SubjectFull: Social Cognition
        Type: general
      – SubjectFull: Thinking Skills
        Type: general
      – SubjectFull: Interpersonal Relationship
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
    Titles:
      – TitleFull: Socially-Conditioned Task Reasoning for a Virtual Tutoring Agent
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            NameFull: Zian Zhao
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            NameFull: Michael Madaio
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            NameFull: Florian Pecune
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            NameFull: Yoichi Matsuyama
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            NameFull: Justine Cassell
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          Dates:
            – D: 01
              M: 07
              Type: published
              Y: 2018
          Titles:
            – TitleFull: Grantee Submission
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