Automatic analysis of affective postures and body motion to detect engagement with a game companion,

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Learning waste Recycling by playing with a Social Robot

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Digital Twins for Supporting Ageing Well: Approaches in Current Research and Innovation in Europe and Japan

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Monitoring task engagement using facial expressions and body postures

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Increased affect-arousal in VR can be detected from faster body motion with increased heart rate

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Toward Better Understanding of Engagement in Multiparty Spoken Interaction with Children

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Self-talk Discrimination in Human–Robot Interaction Situations for Supporting Social Awareness

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Social Moments: A Perspective on Interaction for Social Robotics

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Investigating Context Awareness of Affective Computing Systems: A Critical Approach

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Automatic Engagement Recognition for Distance Learning Systems: A Literature Study of Engagement Datasets and Methods

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Detection of social signals for recognizing engagement in human-robot interactionPreprint

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Measuring attention using Microsoft Kinect

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Engagement recognition by a latent character model based on multimodal listener behaviors in spoken dialogue

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Identifying Task Engagement: Towards Personalised Interactions with Educational Robots

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Detecting perceived quality of interaction with a robot using contextual features

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Integrating multimodal data and machine learning for entrepreneurship research

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Modeling User’s Social Attitude in a Conversational System

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Associating gesture expressivity with affective representations

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Dynamic student assessment to advocate personalized learning plan

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TTS-Driven Synthetic Behavior Generation Model for Embodied Conversational Agents

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Non-invasive player experience estimation from body motion and game context

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Autonomous disengagement classification and repair in multiparty child-robot interaction

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Robotic Motion Learning Framework to Promote Social Engagement

Burns, R. B., Jeon, M., & Park, C. H. (2018) · Applied Sciences · doi:10.3390/app8020241 · Cited by 13

Multimodal approach to engagement and disengagement detection with highly imbalanced in-the-wild data

Fedotov, D., Perepelkina, O. S., Kazimirova, E., Konstantinova, M., & Minker, W. (2018) · doi:10.1145/3279810.3279842 · Cited by 12

Computational Analysis of Affect, Personality, and Engagement in Human–Robot Interactions

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Adapting conversational strategies in information-giving human-agent interaction

Galland, L., Pélachaud, C., & Pécune, F. (2022) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2022.1029340 · Cited by 12

Studying Affect Dynamics Using Epistemic Networks

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Analysis of cognitive states during bodily exploration of mathematical concepts in visually impaired children

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Enhancing Affective Robotics via Human Internal State Monitoring

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MultiMediate'24: Multi-Domain Engagement Estimation

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Towards an affect sensitive interactive companion

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Interactive spaces for children: gesture elicitation for controlling ground mini-robots

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Evaluating the Communication of Emotion via Expressive Gesture Copying Behaviour in an Embodied Humanoid Agent

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Deep Learning Approaches for User Engagement Detection in Human-Robot Interaction: A Scoping Review

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Multimodal Affect Modeling in Task-Oriented Tutorial Dialogue.

Grafsgaard, J. F. (2014) · NCSU Libraries Repository (North Carolina State University Libraries) · Cited by 9

Learning to Engage with Interactive Systems

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Multimodal Behavioral Cues Analysis of the Sense of Presence and Social Presence During a Social Interaction With a Virtual Patient

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Validation of the reasoning of an entry-level cyber-physical stroke rehabilitation system equipped with engagement enhancing capabilities

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Automatic temporal ranking of children’s engagement levels using multi-modal cues

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Improving communication skills of children with autism through support of applied behavioral analysis treatments using multimedia computing: a survey

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Piecewise Linear Dynamical Model for Action Clustering from Real-World Deployments of Inertial Body Sensors

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Multimodal Sensing in Affective Gaming

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Natural emotion elicitation for emotion modeling in child-robot interactions.

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Real-time Engagement Detection from Facial Features

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Sliding Window Seq2seq Modeling for Engagement Estimation

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What Can You See? Identifying Cues on Internal States From the Movements of Natural Social Interactions

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A Systematic Comparison of Affective Robot Expression Modalities

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The Human Touch: Using a Webcam to Autonomously Monitor Compliance During Visual Field Assessments

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Affective Computing Model With Impulse Control in Internet of Things Based on Affective Robotics

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WEDAR: Webcam-based Attention Analysis via Attention Regulator Behavior Recognition with a Novel E-reading Dataset

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EEG-Based Machine Learning Models for Emotion Recognition in HRI

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Applying Gaming Principles to Virtual Environments for Upper Extremity Therapy Games

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Beyond the monotonic: Enhancing human-robot interaction through affective communication

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Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas

Bello, H., Zhou, B., Suh, S., Marin, L. A. S., & Lukowicz, P. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.915280 · Cited by 7

DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation

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Assistive social robots for people with special needs

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Exploring Non-verbal Strategies for Initiating an HRI

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Understanding engagement with the privacy domain through design research

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Affective interaction recognition using spatio-temporal features and context

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Requirements for Robotic Interpretation of Social Signals “in the Wild”: Insights from Diagnostic Criteria of Autism Spectrum Disorder

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Multi-label Disengagement and Behavior Prediction in Online Learning

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ABC-Net: Semi-Supervised Multimodal GAN-based Engagement Detection using an Affective, Behavioral and Cognitive Model.Preprint

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Are Robots More Engaging When They Respond to Joint Attention? Findings from a Turn-Taking Game with a Social Robot

García, J., Gamboa‐Montero, J. J., Castro‐González, Á., & Castillo, J. C. (2025) · Applied Sciences · doi:10.3390/app15158684 · Cited by 6

MultiMediate '25: Cross-cultural Multi-domain Engagement Estimation

Don, D. S. W., Funk, M., Balážia, M., Qiu, H., Okada, S., Brémond, F., Alexandersson, J., Bulling, A., André, E., & Müller, P. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3762076 · Cited by 10

A video processing and machine learning based method for evaluating safety-critical operator engagement in a motorway control room

Jin, L.-Y., Ren, Q.-Y., Mitchell, V., & May, A. (2023) · Ergonomics · doi:10.1080/00140139.2023.2223784 · Cited by 7

Assessing Postural Control for Affect Recognition Using Video and Force Plates

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Shut up and play: A musical approach to engagement and social presence in Human Robot Interaction

McCallum, L., & McOwan, P. W. (2014) · IEEE RO-MAN · doi:10.1109/roman.2014.6926375 · Cited by 6

Prediction of Probability of Crying of a Child and System Formation for Cry Detection and Financial Viability of the System

Joshi, G., Dandvate, C., Tiwari, H., & Mundhare, A. (2017) · International Conference on Vision, Image and Signal Processing (ICVISP) · doi:10.1109/icvisp.2017.33 · Cited by 6

Improving Sensor-Based Affect Detection with Multimodal Data Imputation

Henderson, N., Emerson, A., Rowe, J., & Lester, J. C. (2019) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2019.8925538 · Cited by 6

Bodily Expression of Social Initiation Behaviors in ASC and non-ASC children: Mixed Reality vs. LEGO Game Play

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From analysis to modeling of engagement as sequences of multimodal behaviors

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Using Video Activity Reports to Support Remote Project-Based Learning

Sasaki, K., He, Z., & Inoue, T. (2023) · JUCS - Journal of Universal Computer Science · doi:10.3897/jucs.113266 · Cited by 7

Posture Based Detection of Attention in Human Computer Interaction

Heyer, P., Herrera-Vega, J., Rosado, D.-E. N. V., Sucar, L. E., & Orihuela‐Espina, F. (2014) · Lecture notes in computer science · doi:10.1007/978-3-642-53842-1_19 · Cited by 5

Measuring the engagement level of children for multiple intelligence test using Kinect

Lee, D., Yun, W., Park, C., Yoon, H. Y., Kim, J., & Park, C. (2015) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2181171 · Cited by 5

Video analysis of approach-avoidance behaviors of teenagers speaking with virtual agents

Jáuregui, D. A. G., Philip, L., Clavel, C., Padovani, S., Bailly, M., & Martin, J. (2013) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2522848.2522891 · Cited by 5

MGpi: A Computational Model of Multiagent Group Perception and Interaction

Sanghvi, N., Yonetani, R., & Kitani, K. (2020) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/kgsj2559 · Cited by 6

Learning to Engage with Interactive Systems: A Field Study on Deep Reinforcement Learning in a Public MuseumPreprint

Meng, L., Lin, D., Francey, A., Gorbet, R., Beesley, P., & Kulić, D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1904.06764 · Cited by 8

Position Error-Based Identification of Subject Participation in Robotic-Rehabilitation

Pareek, S., Chembrammel, P., Nguyen, J. K., & Kesavadas, T. (2018) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2018.8487206 · Cited by 4

Interaction acceptance modelling and estimation for a proactive engagement in the context of human-robot interactions

Dhaussy, T., Jabaian, B., & Lefèvre, F. (2023) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw60793.2023.00330 · Cited by 6

TCA-NET: Triplet Concatenated-Attentional Network for Multimodal Engagement Estimation

He, H., Wang, D., Hasan, M. R., Gedeon, T., & Hossain, M. Z. (2024) · Proceedings - International Conference on Image Processing · doi:10.1109/icip51287.2024.10647692 · Cited by 4

Multivariate Output-Associative Rvm For Multi-Dimensional Affect Predictions

Manandhar, A., Morton, K. D., Torrione, P. A., & Collins, L. M. (2016) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1111900 · Cited by 4

A Human Affect Recognition System for Socially Interactive Robots

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Emotional sharing behavior for a social robot in a competitive setting

Petisca, S., Dias, J., Alves‐Oliveira, P., & Paiva, A. (2016) · IEEE RO-MAN · doi:10.1109/roman.2016.7745200 · Cited by 4

MyoTrack: Tracking Subject Participation in Robotic Rehabilitation using sEMG and IMU

Pareek, S., Manjunath, H., Esfahani, E. T., & Kesavadas, T. (2019) · International Symposium on Medical Robotics · doi:10.1109/ismr.2019.8710207 · Cited by 4

Robots That Play with a Child: Application of an Action Decision Model Based on Mental State Estimation

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Policy Shaping with Supervisory Attention Driven Exploration

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Human-Robot Interactions for Single Robots and Multi-Robot Teams

Hong, A. (2016) · TSpace (University of Toronto) · Cited by 4

Multimodal Fusion in Human-Agent Dialogue

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SEMPI: A Database for Understanding Social Engagement in Video-Mediated Multiparty Interaction

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Engagement-Based Adaptive Behaviors for Laboratory Guide in Human-Robot Dialogue

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