Literature DB >> 33501259

Engagement in Human-Agent Interaction: An Overview.

Catharine Oertel1, Ginevra Castellano2, Mohamed Chetouani3, Jauwairia Nasir4, Mohammad Obaid5, Catherine Pelachaud6, Christopher Peters7.   

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.
Copyright © 2020 Oertel, Castellano, Chetouani, Nasir, Obaid, Pelachaud and Peters.

Entities:  

Keywords:  engagement; engagement generation; engagement perception; human-agent interaction (HAI); human-robot interaction (HRI)

Year:  2020        PMID: 33501259      PMCID: PMC7806067          DOI: 10.3389/frobt.2020.00092

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  6 in total

1.  When a robot is social: spatial arrangements and multimodal semiotic engagement in the practice of social robotics.

Authors:  Morana Alac; Javier Movellan; Fumihide Tanaka
Journal:  Soc Stud Sci       Date:  2011-12       Impact factor: 3.885

2.  Maintaining Engagement in Long-term Interventions with Relational Agents.

Authors:  Timothy Bickmore; Daniel Schulman; Langxuan Yin
Journal:  Appl Artif Intell       Date:  2010-07-01       Impact factor: 1.580

3.  PARO robot affects diverse interaction modalities in group sensory therapy for older adults with dementia.

Authors:  Selma Šabanović; Casey C Bennett; Wan-Ling Chang; Lesa Huber
Journal:  IEEE Int Conf Rehabil Robot       Date:  2013-06

4.  Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement.

Authors:  Serena Ivaldi; Salvatore M Anzalone; Woody Rousseau; Olivier Sigaud; Mohamed Chetouani
Journal:  Front Neurorobot       Date:  2014-02-17       Impact factor: 2.650

5.  Comprehension and engagement in survey interviews with virtual agents.

Authors:  Frederick G Conrad; Michael F Schober; Matt Jans; Rachel A Orlowski; Daniel Nielsen; Rachel Levenstein
Journal:  Front Psychol       Date:  2015-10-20

6.  Interaction and behaviour imaging: a novel method to measure mother-infant interaction using video 3D reconstruction.

Authors:  C Leclère; M Avril; S Viaux-Savelon; N Bodeau; C Achard; S Missonnier; M Keren; R Feldman; M Chetouani; D Cohen
Journal:  Transl Psychiatry       Date:  2016-05-24       Impact factor: 6.222

  6 in total
  3 in total

1.  Personalised socially assistive robot for cardiac rehabilitation: Critical reflections on long-term interactions in the real world.

Authors:  Bahar Irfan; Nathalia Céspedes; Jonathan Casas; Emmanuel Senft; Luisa F Gutiérrez; Mónica Rincon-Roncancio; Carlos A Cifuentes; Tony Belpaeme; Marcela Múnera
Journal:  User Model User-adapt Interact       Date:  2022-07-19       Impact factor: 4.230

2.  A Long-Term Engagement with a Social Robot for Autism Therapy.

Authors:  Nazerke Rakhymbayeva; Aida Amirova; Anara Sandygulova
Journal:  Front Robot AI       Date:  2021-06-16

3.  Towards an Engagement-Aware Attentive Artificial Listener for Multi-Party Interactions.

Authors:  Catharine Oertel; Patrik Jonell; Dimosthenis Kontogiorgos; Kenneth Funes Mora; Jean-Marc Odobez; Joakim Gustafson
Journal:  Front Robot AI       Date:  2021-07-01
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.