Rapid advances in AI, foundation models, and autonomy, are expanding how humans communicate, share control, and build trust with robots to ensure safe, effective, and inclusive collaboration. The Human-Robot Interaction and Collaboration Conference (HRIC) bridges psychology, human factors, artificial intelligence, control engineering, and design to address cognitive workload, adaptive interfaces, and physical co-manipulation. Technical contributions regarding robotics, sensing, or teleoperation are explicitly welcome whenever human interaction remains central to the work, expanding our scope into education, transportation, and wearable systems. We welcome theoretical, empirical, design-oriented, and applied research across industrial cobots, social humanoids, and service platforms. Join us in bringing together academics, industry professionals, and designers to shape the future of human-centered robotic partnerships.
The International Conference on Human-Robot Interaction and Collaboration (HRIC), debuting as an Affiliated Conference of the HCI International Conference, provides an interdisciplinary forum exploring how embodied intelligent systems transition from isolated automation tools into active partners across workplaces, healthcare, and public spaces.
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The related topics include, but are not limited to:
- Foundations of HRI: Theories, Methods, Human Cognition, and Social Experience
- Theoretical and conceptual models of human–robot interaction and collaboration
- Experimental, observational, ethnographic, computational, and mixed methods for studying HRI
- Measurement instruments, metrics, benchmarks, datasets, and evaluation frameworks, including replication and reproducibility
- Simulation, digital twins, and virtual environments for HRI research and evaluation
- Attention, mental workload, situation awareness, decision-making, and human performance when working with robots
- Mental models, expectations, intention inference, and anticipation of robot behavior, including cognitive biases and individual and cultural differences
- Trust formation, calibration, and repair, and the predictability and transparency of robot behavior
- Emotion, empathy, personality, rapport, social presence, companionship, social influence, and long-term relationships with robots
- Communication, Interfaces, and Interaction Design for Robots
- Speech, dialogue, and language-based interaction between humans and robots
- Gaze, gesture, facial and bodily expression, and other nonverbal communication in HRI
- Touch, haptics, and physiological signals as channels for human–robot communication
- Multimodal fusion and natural, accessible human–robot communication for diverse users
- Explainable robot behavior, uncertainty communication, and the detection, management, and repair of errors and interaction breakdowns
- User-centered, participatory, and co-design methods, design tools, and prototyping approaches for robotic systems
- Robot form, morphology, appearance, behavior, affordances, and expressiveness as design variables shaping user experience
- Interfaces for non-expert users, end-user robot programming, and the acceptance and appropriation of robots in everyday practice
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Human–Robot Collaboration, Teaming, and Physical Interaction
- Team coordination, communication, common ground, and shared mental models in human–robot teams
- Role allocation, leadership, initiative, negotiation, and conflict in human–robot, multi-robot, and human–robot–AI teams
- Team fluency, joint decision-making, mixed-initiative interaction, robot proactivity, and mutual adaptation
- Shared and adjustable autonomy, supervisory control, and human-in-the-loop and human-on-the-loop interaction
- Teleoperation, telepresence, handover of control, and immersive (AR/VR/XR) interfaces for remote operation
- Physical collaboration with cobots, including co-manipulation, object handovers, shared workspaces, and enabling hardware such as end-effectors, grippers, haptic devices, wearables, and exoskeletons
- Ergonomics, biomechanics, fatigue, physical safety, and the design of human–robot work
- Flexible automation, reconfigurable work cells, and human-centric manufacturing in Industry 5.0
- Robot Intelligence, Learning, and Enabling Technologies for Interaction
(technical contributions are welcome where human interaction remains central)- LLMs, VLMs, multimodal foundation models, and generative agents as components of interactive robots
- Language-grounded robot action, embodied reasoning, planning, and memory in human-facing tasks
- Alignment, hallucination, human oversight, and human-centered evaluation of foundation-model-driven robots
- Robot learning from demonstration, observation, instruction, correction, and human feedback
- User modeling, preference learning, personalization, and continual adaptation in long-term interaction
- Sensing and perception for safe and fluent collaboration, including robotic vision, safety sensors, and recognition of human state and intent
- Socially aware navigation in shared and public spaces, including proxemics and the legibility and predictability of robot motion
- Pedestrian and crowd interaction with mobile robots, delivery robots, and automated vehicles, and multi-party interaction in public settings
- Responsible HRI, Safety, and Real-World Deployment
- Physical and psychological safety of people interacting with robots
- Ethics, privacy, and cybersecurity in HRI systems
- Value alignment, fairness, accountability, governance, standards, and regulation of interactive robots
- Responsible innovation, societal consequences, and impacts on work and labor
- Environmental sustainability of robotic systems and their deployment
- Field deployments, in-the-wild and longitudinal studies, and real-world adoption of robots
- Applications in healthcare, rehabilitation, and elder care; education and skill training; and home and service robotics
- Applications in manufacturing, logistics, agriculture, and construction; transportation and mobility; public services, emergency response, and search and rescue; and arts and entertainment
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Program Chair
Renran Tian
North Carolina State University, USA
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Program Chair
VINCENT DUFFY
Purdue University, USA
American University of Sharjah, UAE -
Board Members
- Umit Cali
American University of Sharjah, United Arab Emirates - Jing Chen
Rice University, United States - Mandeep Dhanda
Motilal Nehru National Institute of Technology, Allahabad, India - Connor Esterwood
Wayne State University, United States - Fabio Fruggiero
University of Basilicata, Italy - Jundi Liu
Iowa State University, United States - Sotirios Panagou
Norwegian University of Science and Technology, Norway - Abdulrahim Shamayleh
American University of Sharjah, United Arab Emirates - Nathan Tenhundfeld
Embry-Riddle Aeronautical University, United States - Peng Yang
Tsinghua Shenzhen International School, P.R. China
Disclaimer - Political Neutrality
The HCI International Conference respects the decisions of all its contributors, engaged in any way, regarding their institutional affiliations and designations of territories, in all material / content published in its website, taking a neutral stance in relation to any disputes or claims. Moreover, the HCI International Conference fully concurs with the Territorial Neutrality Policy of Springer Nature, Publisher of its proceedings.


