Cyber-physical systems (CPS) have radically transformed engineering solutions over the last decade and garnered considerable attention, improving infrastructure performance through the combination of sensing, computing, and control. CPS has even expanded to include human-in-the-loop control, where humans serve as operators or supervisors. While these paradigms have been wildly successful for the design and operation of physical systems decoupled from—or weakly coupled to—human social contexts, it is limiting to study physical systems in a vacuum, that is, without explicitly accounting for their interactions with the social systems they are designed to serve. This traditional approach has left many promising applications of CPS to human-oriented systems—or cyber-physical-social infrastructure systems (CPSIS)—completely untouched and exacerbated inequities in community infrastructure. There are entirely unexplored social benefits derived from the built environment that have yet to be scientifically understood and exploited. This workshop focuses on showcasing advances in the theory and tools used to support CPSIS, which promise the design, management, and control of physical spaces and the built environment in ways that explicitly and measurably account for human interaction, contribute to social objectives (e.g., productivity, sociability, co-design and collaboration, well-being, accessibility), and determine whether social capital develops. Here, the social context from which CPSIS emerges is a top priority, meaning that—by design—responsible sensing technologies and approaches should be developed and implemented to prioritize user privacy.

The workshop, which will be co-located with ACM BuildSys 2024, is soliciting submissions that explore the scientific understanding of CPSIS as is relates to human-centered sensing, support of social objectives, and cultivation of social capital.

Topics of interest include, but are not limited to:

– Challenges, opportunities, and applications of CPSIS including, but not limited to, education, healthcare, transportation, well-being, accessibility, co-design and collaboration, public and urban infrastructure, built environment
– Data-driven (1) agent-based modeling, (2) cognitive and behavioral modeling, and (3) social dynamics modeling in the built environment
– Human-centered AI models
– Sensing, modeling, analysis, and control of integrated and human-centered CPSIS
– Deployment of human-centered systems
– Integration of human or community constraints and/or challenges within CPSIS
– Methodologies for the measurement and quantification of human-human and human-infrastructure interactions and social benefits derived from the built environment
– Security, privacy, and ethics in CPSIS