ReviewFrontiers in robotics and AI2020
Engagement in Human-Agent Interaction: An Overview.
Review in Frontiers in robotics and AI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Assessment of a Digital Health Platform Using Web Analytics and User Experience Measurements: Quantitative Study Based on RE-AIM.Journal of medical Internet research · 2026Article
- Multimodal engagement estimation in paediatric robot-assisted gait training: integrating physiological sensing and biomechanical interaction.Journal of neuroengineering and rehabilitation · 2026Article
- Integrating a Large Language Model Into a Socially Assistive Robot in a Hospital Geriatric Unit: Two-Wave Comparative Study on Performance, Engagement, and User Perceptions.JMIR human factors · 2025Article
- Let's make up a story: design and evaluation of an improvisational storytelling robot to foster older adults' meaning and purpose in life.Frontiers in dementia · 2025Article
- Exploring LLM-powered multi-session human-robot interactions with university students.Frontiers in robotics and AI · 2025Article
- A Novel Digital Health Platform With Health Coaches to Optimize Surgical Patients: Feasibility Study at a Large Academic Health System.JMIR perioperative medicine · 2024Article
- Social robots as skilled ignorant peers for supporting learning.Frontiers in robotics and AI · 2024Article
- Examining the Impact of Digital Human Gaze Expressions on Engagement Induction.Biomimetics (Basel, Switzerland) · 2023Article
- Exploring user experience and performance of a tedious task through human-agent relationship.Scientific reports · 2023Article
- University Students' Engagement in Mobile Learning.European journal of investigation in health, psychology and education · 2023Article
- Personalised socially assistive robot for cardiac rehabilitation: Critical reflections on long-term interactions in the real world.User modeling and user-adapted interaction · 2023Article
- Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies.Frontiers in digital health · 2023Article
- Nursing and human-computer interaction in healthcare robots for older people: An integrative review.International journal of nursing studies advances · 2022Review
- Towards an Engagement-Aware Attentive Artificial Listener for Multi-Party Interactions.Frontiers in robotics and AI · 2021Article
- A Long-Term Engagement with a Social Robot for Autism Therapy.Frontiers in robotics and AI · 2021Article
- Exploring user engagement with real-time verbal feedback from an exoskeleton-based virtual exercise coach.Digital healthArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.