Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods

SN Karimah, S Hasegawa - Smart Learning Environments, 2022 - Springer
Background Recognizing learners' engagement during learning processes is important for
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 …

A mass-produced sociable humanoid robot: Pepper: The first machine of its kind

AK Pandey, R Gelin - IEEE Robotics & Automation Magazine, 2018 - ieeexplore.ieee.org
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 …

Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders

S Jain, B Thiagarajan, Z Shi, C Clabaugh… - Science Robotics, 2020 - science.org
Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and
personalized therapeutic interventions for children with autism spectrum disorders (ASD) …

Automatic context-aware inference of engagement in hmi: A survey

H Salam, O Celiktutan, H Gunes… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Engagement is the process by which participants establish, maintain, and end their
perceived connection. Automatic engagement inference is one of the tasks required to …

Posetron: Enabling close-proximity human-robot collaboration through multi-human motion prediction

MS Yasar, MM Islam, T Iqbal - Proceedings of the 2024 ACM/IEEE …, 2024 - dl.acm.org
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) …

Analyzing Participants' Engagement during Online Meetings Using Unsupervised Remote Photoplethysmography with Behavioral Features

A Vedernikov, Z Sun, VL Kykyri… - Proceedings of the …, 2024 - openaccess.thecvf.com
Engagement measurement finds application in healthcare education services. The use of
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

E Billing, T Belpaeme, H Cai, HL Cao, A Ciocan… - PloS one, 2020 - journals.plos.org
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 …

Human movement datasets: An interdisciplinary sco** review

T Olugbade, M Bieńkiewicz, G Barbareschi… - ACM Computing …, 2022 - dl.acm.org
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 …

From the definition to the automatic assessment of engagement in human–robot interaction: A systematic review

A Sorrentino, L Fiorini, F Cavallo - International Journal of Social Robotics, 2024 - Springer
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 …