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. 2022 Dec 21;12:22092. doi: 10.1038/s41598-022-25047-y

Table 2.

Sample research questions related to interdisciplinary research areas of HBI.

Trust and collaboration
How might we better design novel interactions that increase trust and collaboration between built environments and their users?
How will these interactions change the behavior of humans and built environments?
How do, and what type of, interactions with building structures, systems, and operations influence how humans perceive, experience, and use spaces?
What types of user interfaces and modes of communication promote effective collaboration and trust to advance shared goals between the building and human occupants?
How does the level of automation affect trust in technology?
How does trust in technology change based on users' tasks in built environments?
How will novel HBIs change people’s expectations of the built environment?
How will the type of collaboration affect the way that humans use the built environments?
Decision-making and control
How will control systems respond to a diversity of human needs?
Should a bottom-up approach (intelligence growing from individual smart devices) or a top-down approach (a smart central building manager) be taken? Or is it this goal dependent, and for some goals, the system should consider a top-down approach, and for other goals, a bottom-up approach might be a better option
How do users react to intelligent and aware spaces or building (e.g., buildings that dynamically adjust the color temperature according to user activities or building geometry support users)?
How could smart systems be developed to be scalable and transferable?
Modeling and simulation
How can we generalize and incorporate well-being considerations into design tools (e.g., Building Information Modeling)?
Which physical and digital adaptations are most effective for specific populations/cultures/building styles?
How can the physical layout be designed to reflect the organizational structure, levels of sharing, and visibility (physically and conceptually)?
What are the tradeoffs between physical materials and digital representations?
How can computational models of human behavior account for the building occupants' cultural, physical, and psychological traits?
How can generative design approaches account for designers’ tacit knowledge?
How can Machine Learning (ML) and Deep Learning (DL) approaches replace or integrate traditional Multi Agent Systems (MAS), which often require long computational times?
What is the role of digital twins in HBI research? How can future building digital twins preserve building occupant privacy?