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Engagement in Human-Agent Interaction: An Overview.
Oertel, Catharine; Castellano, Ginevra; Chetouani, Mohamed; Nasir, Jauwairia; Obaid, Mohammad; Pelachaud, Catherine; Peters, Christopher.
Afiliação
  • Oertel C; Interactive Intelligence, Intelligent Systems, EWI, Delft University of Technology, Delft, Netherlands.
  • Castellano G; Uppsala Social Robotics Lab, Department of Information Technology, Uppsala University, Uppsala, Sweden.
  • Chetouani M; Institute for Intelligent Systems and Robotics, CNRS UMR 7222, Sorbonne University, Paris, France.
  • Nasir J; Computer-Human Interaction in Learning and Instruction Lab, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Obaid M; Interaction Design Division, Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden.
  • Pelachaud C; CNRS, Institute for Intelligent Systems and Robotics, Sorbonne University, Paris, France.
  • Peters C; Embodied Social Agents Lab (ESAL), School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Front Robot AI ; 7: 92, 2020.
Article em En | MEDLINE | ID: mdl-33501259
ABSTRACT
Engagement is a concept of the utmost importance in human-computer interaction, not only for informing the design and implementation of interfaces, but also for enabling more sophisticated interfaces capable of adapting to users. While the notion of engagement is actively being studied in a diverse set of domains, the term has been used to refer to a number of related, but different concepts. In fact it has been referred to across different disciplines under different names and with different connotations in mind. Therefore, it can be quite difficult to understand what the meaning of engagement is and how one study relates to another one accordingly. Engagement has been studied not only in human-human, but also in human-agent interactions i.e., interactions with physical robots and embodied virtual agents. In this overview article we focus on different factors involved in engagement studies, distinguishing especially between those studies that address task and social engagement, involve children and adults, are conducted in a lab or aimed for long term interaction. We also present models for detecting engagement and for generating multimodal behaviors to show engagement.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Robot AI Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Robot AI Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Holanda