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Evaluating an automated mediator for joint narratives in a conflict situation.

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Title: Evaluating an automated mediator for joint narratives in a conflict situation.
Authors: Zancanaro, Massimo, Stock, Oliviero, Schiavo, Gianluca, Cappelletti, Alessandro, Gehrmann, Sebastian, Canetti, Daphna, Shaked, Ohad, Fachter, Shani, Yifat, Rachel, Mimran, Ravit, Weiss, Patrice L. (Tamar)
Source: Behaviour & Information Technology. Sep2020, Vol. 39 Issue 9, p1022-1037. 16p. 1 Diagram, 5 Charts, 1 Graph.
Subjects: Analysis of variance, Arabs, Automation, Chi-squared test, Computer software, Conflict management, Interpersonal relations, Jews, Multivariate analysis, Questionnaires, Research funding, Statistical sampling, T-test (Statistics), Pre-tests & post-tests, Repeated measures design, Descriptive statistics
Geographic Terms: Israel
Abstract: Joint narratives are often used in the context of reconciliation interventions for people in social conflict situations, which arise, for example, due to ethnic or religious differences. The interventions aim to encourage a change in attitudes of the participants towards each other. Typically, a human mediator is fundamental for achieving a successful intervention. In this work, we present an automated approach to support remote interactions between pairs of participants as they contribute to a shared story in their own language. A key component is an automated cognitive tutor that guides the participants through a controlled escalation/de-escalation process during the development of a joint narrative. We performed a controlled study comparing a trained human mediator to the automated mediator. The results demonstrate that an automated mediator, although simple at this stage, effectively supports interactions and helps to achieve positive outcomes comparable to those attained by the trained human mediator. [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="JN" term="%22Behaviour+%26+Information+Technology%22">Behaviour & Information Technology</searchLink>. Sep2020, Vol. 39 Issue 9, p1022-1037. 16p. 1 Diagram, 5 Charts, 1 Graph.
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  Data: Joint narratives are often used in the context of reconciliation interventions for people in social conflict situations, which arise, for example, due to ethnic or religious differences. The interventions aim to encourage a change in attitudes of the participants towards each other. Typically, a human mediator is fundamental for achieving a successful intervention. In this work, we present an automated approach to support remote interactions between pairs of participants as they contribute to a shared story in their own language. A key component is an automated cognitive tutor that guides the participants through a controlled escalation/de-escalation process during the development of a joint narrative. We performed a controlled study comparing a trained human mediator to the automated mediator. The results demonstrate that an automated mediator, although simple at this stage, effectively supports interactions and helps to achieve positive outcomes comparable to those attained by the trained human mediator. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=144988947
RecordInfo BibRecord:
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        Value: 10.1080/0144929X.2019.1637940
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        Text: English
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        PageCount: 16
        StartPage: 1022
    Subjects:
      – SubjectFull: Analysis of variance
        Type: general
      – SubjectFull: Arabs
        Type: general
      – SubjectFull: Automation
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      – SubjectFull: Chi-squared test
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      – SubjectFull: Computer software
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      – SubjectFull: Conflict management
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      – SubjectFull: Interpersonal relations
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      – SubjectFull: Jews
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      – SubjectFull: Multivariate analysis
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      – SubjectFull: Questionnaires
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      – SubjectFull: Statistical sampling
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      – SubjectFull: Israel
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      – TitleFull: Evaluating an automated mediator for joint narratives in a conflict situation.
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