Modelling engagement in multi-party conversations : data-driven approaches to understanding human-human communication patterns for use in human-robot interactions; Catharine Oertel; 2017
Begagnad
Modelling engagement in multi-party conversations : data-driven approaches to understanding human-human communication patterns for use in human-robot interactions; Catharine Oertel; 2017
Begagnad

Modelling engagement in multi-party conversations : data-driven approaches to understanding human-human communication patterns for use in human-robot interactions

av Catharine Oertel

  • Utgiven: 2017
  • ISBN: 9789177292371
  • Förlag: KTH Royal Institute of Technology
  • Språk: Engelska

Om boken

2017 släpptes boken Modelling engagement in multi-party conversations : data-driven approaches to understanding human-human communication patterns for use in human-robot interactions skriven av Catharine Oertel. Den är skriven på engelska. Förlaget bakom boken är KTH Royal Institute of Technology.

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Referera till Modelling engagement in multi-party conversations : data-driven approaches to understanding human-human communication patterns for use in human-robot interactions

Harvard

Oertel, C. (2017). Modelling engagement in multi-party conversations : data-driven approaches to understanding human-human communication patterns for use in human-robot interactions. KTH Royal Institute of Technology.

Oxford

Oertel, Catharine, Modelling engagement in multi-party conversations : data-driven approaches to understanding human-human communication patterns for use in human-robot interactions (KTH Royal Institute of Technology, 2017).

APA

Oertel, C. (2017). Modelling engagement in multi-party conversations : data-driven approaches to understanding human-human communication patterns for use in human-robot interactions. KTH Royal Institute of Technology.

Vancouver

Oertel C. Modelling engagement in multi-party conversations : data-driven approaches to understanding human-human communication patterns for use in human-robot interactions. KTH Royal Institute of Technology; 2017.

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