This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program award of $114,727 to the University of California Irvine (UC Irvine) supports research to develop psychology-aware decision-making algorithms for cyber-physical systems (CPS) that integrate social-psychological dynamics. The goal is to enable harmonious interactions, foster equity, and optimize overall system performance in CPS applications involving multiple humans, such as smart cities, traffic systems, and crowd management. Key components of the 5-year project include: (i) novel human modeling techniques to capture social psychological dynamics, (ii) formalizing objectives for CPS decision-making to enhance social dynamics, (iii) designing neurosymbolic sequential decision-making algorithms that account for physical and social constraints, and (iv) creating causality-aware preference learning algorithms to capture tradeoffs and social tensions. The research aims to advance the understanding and development of CPS technologies with enhanced social considerations.