## 1 Introduction
[17] explored occupant-centric frameworks and relative methodologies and requirements; [PERSON] and [PERSON] [18] focused on human-in-the-loop occupancy- and comfort-driven HVAC operations. The diffusion of new technologies and algorithms is playing an important part in this process. In their 2020 survey, [PERSON] et al. [19] examined Internet of Things (IoT) applications related to thermal comfort; the authors noted how this class of devices, particularly mobile ones, are instrumental in turning people from passive subjects of measurements to active players in defining their own personal comfort level. After rigorous selection processes, [PERSON] et al. [20] isolated and analyzed over one hundred studies from 1992 to 2020 on the application of artificial intelligence to achieve energy-efficient thermal comfort in buildings, while [PERSON] et al. [21] mainly concentrated on smart devices and technologies such as sensors, cameras, and wearable devices. The endpoint of control system deployment is the human-building interface. [PERSON] et al. [22] presented a review of the most common building interfaces, exploring the motivation that triggers the interaction, the effect of their operation, and the key features that make a device more usable and, therefore, effective. One of the analyzed interfaces is the thermostat, which is also the subject of studies by [PERSON] and co-authors (see, for example, [23]) in which the importance of concepts such as expectations and user-friendliness were highlighted as one of the keys to successful devices. The automatic control process can also be replaced or complemented by the promotion of behavioral changes through recommendations. The effect of nudging has been explored in recent publications, sometimes with contradictory results: for example, the experiment by [PERSON] and [PERSON] [24] in a hotel and the investigation by [PERSON] et al. [25] in individual offices gave a contrasting interpretation of the influence of environmental appeals on the user's actions. To summarize, literature reviews can be found on either comfort models or control technologies, occasionally giving information about both aspects, but discussing them separately. To the authors' knowledge, no application-oriented survey exists on studies in which findings from the thermal comfort research corpus have been exploited to devise an indoor environment control system--that is, in which a bridge has been created between thermal comfort and building technology communities. This paper aims to fill this gap by providing a systematic guide to solutions combining scientific evaluation of thermal comfort and development of comfort-based control methods. In the authors' view, the survey can be used as a starting point both from researchers willing to contribute to the field with new studies, and from practitioners looking for complete solutions. The studies were classified according to several aspects, including comfort model, control strategy/algorithm, required inputs, control variables, type of environment, and level of readiness. Where available, practical information for each of the analyzed solutions was given, such as hardware and software used, and estimated cost. To make the findings of this work more readily accessible to the interested reader, the database of the reviewed works was also made available as Supplementary Materials. The paper is organized as follows: Section 2 describes the methodology and criteria employed to select the papers. Section 3 is divided into several subsections: after a statistical and semantical overview of the selected papers, the actual guide to available solutions is presented, mostly in visual and tabular form, followed by a discussion about the most relevant findings and the limits of the review methodology. As most of the reviewed solutions are developed for standard contexts, some unresolved questions are collected in Section 4 to raise attention on the needs of vulnerable groups of people. Conclusions are briefly drawn in the final Section 5.