ReviewFrontiers in robotics and AI2020
Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives.
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 31 papers.
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Who cites it
31 citing papers in PubMed.
- Bounded Adaptive Sensitivity Through Bio-Inspired Digital Hormone Regulation for Emotionally Intelligent UAV Traffic Monitoring.Biomimetics (Basel, Switzerland) · 2026Article
- A multimodal dataset for emotional transition analysis in virtual reality.Scientific data · 2026Article
- Toward Objective Assessment of Positive Affect: EEG and HRV Indices Distinguishing High and Low Arousal Positive Affect.Sensors (Basel, Switzerland) · 2026Article
- Workers expect basic social skills but limited autonomy from future robots - a qualitative interview study and taxonomy for robot social skills.Frontiers in robotics and AI · 2026Article
- The association between emotional arousal and color lightness of facial digital expressions of social robots.Frontiers in psychology · 2026Article
- Human-AI attachment: how humans develop intimate relationships with AI.Frontiers in psychology · 2026Article
- Automated capture and transfer of human facial expressions to humanoid robots for realistic patient simulation.Frontiers in robotics and AI · 2026Article
- Speech feature identification model for depressed individuals with suicidal ideation based on autobiographical memory.BMC psychiatry · 2025Article
- Attention-Based Transfer Enhancement Network for Cross-Corpus EEG Emotion Recognition.Sensors (Basel, Switzerland) · 2025Article
- Cross-modal gated feature enhancement for multimodal emotion recognition in conversations.Scientific reports · 2025Article
- Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data.Brain sciences · 2025Article
- Gait-to-Gait Emotional Human-Robot Interaction Utilizing Trajectories-Aware and Skeleton-Graph-Aware Spatial-Temporal Transformer.Sensors (Basel, Switzerland) · 2025Article
- Preferred Distance in Human-Drone Interaction.Vision (Basel, Switzerland) · 2024Article
- Emerging Trends of Biomedical Signal Processing in Intelligent Emotion Recognition.Brain sciences · 2024Article
- Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data set.Scientific data · 2024Article
- The Role of Coherent Robot Behavior and Embodiment in Emotion Perception and Recognition During Human-Robot Interaction: Experimental Study.JMIR human factors · 2024Article
- Designing, implementing and testing an intervention of affective intelligent agents in nursing virtual reality teaching simulations-a qualitative study.Frontiers in digital health · 2024Article
- Digital loneliness-changes of social recognition through AI companions.Frontiers in digital health · 2024Review
- Emotional responses of Korean and Chinese women to Hangul phonemes to the gender of an artificial intelligence voice.Frontiers in psychology · 2024Article
- Experience with an Affective Robot Assistant for Children with Hearing Disabilities.International journal of social robotics · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A fascinating challenge in the field of human-robot interaction is the possibility to endow robots with emotional intelligence in order to make the interaction more intuitive, genuine, and natural. To achieve this, a critical point is the capability of the robot to infer and interpret human emotions. Emotion recognition has been widely explored in the broader fields of human-machine interaction and affective computing. Here, we report recent advances in emotion recognition, with particular regard to the human-robot interaction context. Our aim is to review the state of the art of currently adopted emotional models, interaction modalities, and classification strategies and offer our point of view on future developments and critical issues. We focus on facial expressions, body poses and kinematics, voice, brain activity, and peripheral physiological responses, also providing a list of available datasets containing data from these modalities.
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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.