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Public spaces, where we gather, commune, and take a rest, are the essential parts of a modern urban landscape, enriching citizen's everyday life [3]. How we share these spaces are considered an indicator of the quality of life. Public spaces thus have a responsibility to provide comfort and satisfaction to any visitors. However, in most times, the operations of the spaces are managed in rather an exclusive manner.An inherent obstruction of inclusive sharing of a public space sits in the exclusive modes of actuators' control interfaces. Existing control interfaces, structured as buttons and dials, premise the activation from a single owner, lacking ability to incorporate the various needs of visitors. Even with IoT-enabled actuators, the philosophy of one-on-one control stays the same, e.g., opening up access to authenticated owners. Therefore, while the space is open to the public, its operational details, i.e., activation of actuators, are decided and managed without reflecting occupants' preferences [1].However, it is not straightforward to realize a democratic control of public actuators. Inherent uncertainty of the public spaces imposes several challenges in a system design. We cannot predict who the visitors are. The visitors freely enter/leave public places at arbitrary moments. Such visits are often short and/or happen only once. The visitors are stranger to each other; having a synchronous discussion among them are highly unlikely to happen. Hence in the public spaces, conventional decision-making strategies (e.g.,