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Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods
Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …
providing personalized pedagogical support and preventing dropouts. As learning …
What pronouns for pepper? a critical review of gender/ing in research
K Seaborn, A Frank - Proceedings of the 2022 CHI Conference on …, 2022 - dl.acm.org
Gender/ing guides how we view ourselves, the world around us, and each other—including
non-humans. Critical voices have raised the alarm about stereotyped gendering in the …
non-humans. Critical voices have raised the alarm about stereotyped gendering in the …
A mass-produced sociable humanoid robot: Pepper: The first machine of its kind
As robotics technology evolves, we believe that personal social robots will be one of the next
big expansions in the robotics sector. Based on the accelerated advances in this …
big expansions in the robotics sector. Based on the accelerated advances in this …
Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders
Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and
personalized therapeutic interventions for children with autism spectrum disorders (ASD) …
personalized therapeutic interventions for children with autism spectrum disorders (ASD) …
Automatic context-aware inference of engagement in hmi: A survey
Engagement is the process by which participants establish, maintain, and end their
perceived connection. Automatic engagement inference is one of the tasks required to …
perceived connection. Automatic engagement inference is one of the tasks required to …
Posetron: Enabling close-proximity human-robot collaboration through multi-human motion prediction
As robots enter human workspaces, there is a crucial need for robots to understand and
predict human motion to achieve safe and fluent human-robot collaboration (HRC) …
predict human motion to achieve safe and fluent human-robot collaboration (HRC) …
Analyzing Participants' Engagement during Online Meetings Using Unsupervised Remote Photoplethysmography with Behavioral Features
Engagement measurement finds application in healthcare education services. The use of
physiological and behavioral features is viable but the impracticality of traditional …
physiological and behavioral features is viable but the impracticality of traditional …
The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy
We present a dataset of behavioral data recorded from 61 children diagnosed with Autism
Spectrum Disorder (ASD). The data was collected during a large-scale evaluation of Robot …
Spectrum Disorder (ASD). The data was collected during a large-scale evaluation of Robot …
Human movement datasets: An interdisciplinary sco** review
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
From the definition to the automatic assessment of engagement in human–robot interaction: A systematic review
The concept of engagement is widely adopted in the human–robot interaction (HRI) field, as
a core social phenomenon in the interaction. Despite the wide usage of the term, the …
a core social phenomenon in the interaction. Despite the wide usage of the term, the …