Chair: ^(a)Tamás Ruppert, (b)Abdulrahman K. Eesee, (c)Tuan-anh Tran

Affiliation: ^(a)(c)University of Pannonia (Hungary), ^(b)Northern Technical University (Iraq)

Track Description: This track focuses on simulating human behaviors and actions as a core element in collaboration with autonomous control, cognitive agents, and decision-support systems within the context of socio-technological complex systems.
We invite contributions that attempt to collect data, compute, model human physical/physiological/mental states, cognition, decision-making processes, behaviors, actions, and interactions, enabling simulations of predicting individual-, group-, and system-level outcomes, thus informing design choices or system monitoring and management.
Topics of interest include, but are not limited to:

• Accumulation and adaptation of human knowledge, skill, habit, and mental model
• Cognitive and affective architectures
• Agent-based and system-dynamics social simulation
• Human digital twin
• Data-driven and hybrid behavior models (including personalization)
• Detection of accumulation and changes in human status, in physical/physiological/mental aspects
• Decision-making process under uncertainty, workload, stress, and fatigue
• Modelling communication and coordination in team collaboration
• Dynamics of mixed human-technology-automated agent decision-making
• Explainability, trust, and ethics in human-agent interaction
• Effect of contexts such as social norms, cultural differences, values, and individual capabilities on team collaboration
• Multimodal data collection and model calibration (such as interaction logs, eye tracking, physiology, motion)
• Verification, validation, and uncertainty quantification for behavior models