Social Robotics & Emotional Intelligence Studies

Neural Correlates of Human-Robot Social Interaction Recognition

This research investigates how human brains process and respond to emotional cues generated by social robots using neuroimaging and physiological measurements. The findings advance understanding of mirror neuron systems and emotional contagion mechanisms in human-robot dyadic interactions.

Computational Models of Empathetic Response Generation in Embodied Agents

This research develops and tests algorithmic frameworks that enable robots to generate contextually appropriate empathetic responses based on detected human emotional states. The work contributes novel machine learning architectures that simulate theory-of-mind and emotional perspective-taking in artificial systems.

Cross-Cultural Variation in Robot Emotional Expression Interpretation Studies

This research examines how individuals from diverse cultural backgrounds interpret and respond to identical robot emotional displays and behavioral cues. The investigation produces culturally-informed design principles and reveals universal versus culture-specific patterns in emotional perception across human populations.

Affective Touch and Haptic Feedback in Socially Embodied Robot Design

This research explores how tactile interactions and haptic feedback mechanisms in robots influence human emotional bonding, trust formation, and physiological stress responses. The findings establish evidence-based guidelines for implementing somatosensory engagement in therapeutic and social robotics applications.

Longitudinal Assessment of Emotional Attachment Formation in Human-Robot Relationships

This research tracks changes in emotional attachment, dependency patterns, and affective responses across extended human-robot interaction periods using validated psychological measures. The longitudinal data illuminates mechanisms of social bonding and identifies critical factors influencing sustainable emotional relationships with artificial agents.

Multimodal Emotion Recognition Architectures for Real-Time Robot Interaction Systems

This research develops integrated neural architectures that simultaneously process facial expressions, vocal prosody, physiological signals, and body language to detect human emotional states during robot interaction. The advancement produces robust emotion classification systems with superior accuracy and real-time processing capabilities for social robotics applications.

Moral Emotion Attribution and Ethical Decision-Making in Human-Robot Collaboration

This research investigates how humans attribute moral emotions and ethical agency to robots, and how robot moral decision-making impacts human trust and collaborative outcomes. The studies advance theoretical frameworks connecting emotional attribution to human judgment of robot ethics and artificial moral agency.

Affective Scaffolding Mechanisms for Social Robot-Mediated Therapeutic Interventions

This research examines how social robots can strategically modulate emotional supports and adaptive feedback to enhance therapeutic outcomes in clinical and educational settings. The investigations establish evidence for robot-mediated affective scaffolding as an effective intervention mechanism for anxiety, autism spectrum, and social skill development.

Deception Detection and Emotional Authenticity Assessment in Robot-Generated Social Cues

This research investigates human ability to distinguish genuine versus simulated emotional expressions in robots and identifies affective markers that modulate perceived emotional authenticity. The findings reveal critical perceptual boundaries and uncanny valley phenomena related to emotional expression verisimilitude in artificial agents.

Affective Congruence and Emotional Synchrony Dynamics in Extended Robot Partnerships

This research quantifies patterns of emotional synchrony, affective matching, and mutual adaptation between humans and robots across iterative interaction sessions. The analysis produces novel metrics for measuring bidirectional emotional coupling and reveals mechanisms through which sustained interaction quality correlates with affective alignment.