A Smooth and Accepted Transition to the Future of Cities Based on the Standard ISO 37120, Artificial Intelligence, and Gamification Constructors

Gamification Approaches and Assessment Methodologies for Occupants’ Energy Behavior Change in Buildings: A Systematic Review

“…This overall selection process yielded a final set of 21 principal articles. The chosen studies, meeting all predefined inclusion and exclusion criteria, were found to address various perspectives outlined within the criteria, which have been classified into four categories: (1) gamification integration with different building platforms [26,27,[37][38][39][40][41][42]; (2) gamified design elements [43][44][45][46]; (3) gamification solutions with different gamified mechanisms [32,[47][48][49][50] and (4) various gamification techniques [33,[51][52][53].…”

“…The platforms used to integrate with gamified systems within building contexts are classified into three directions. These directions include groups related to energy acquisition and dissipation, such as thermostats [38], photovoltaics (PV) [51], heating, ventilation and air conditioning (HVAC) systems [45]; the energy monitoring group [46], including smart meters, sensors and plugs [47]; and notably, the least prevalent application platform identified in this synthesis is the computer [44]. Furthermore, the effectiveness of different gamification design elements in optimizing resource utilization and energy consumption was also investigated across various implementation techniques, with the results detailed in Table 2.…”

“…The concept of "empowerment," characterized by the facilitation of creativity and feedback, is critical to instilling a sense of responsibility in individuals' lives. In the study by Mendez et al [51], modifications to the classroom's air conditioning setpoint are contingent upon majority agreement from students. These students possess the requisite credentials to monitor real-time changes and offer input, while rankings and energy usage are displayed through an interface.…”

“…The concept of "unpredictability" has been subjected to examination in multiple studies, wherein different rewarding mechanisms have been incorporated into gamified systems [27,45,47,48,51]. Within these studies, users are kept unaware in advance of the rewards they are to receive, rendering the rewards unpredictable and presenting them as surprises.…”

Using Deep Learning in Real-Time for Clothing Classification with Connected Thermostats

“…Moreover, in [26], the authors established for the first time the concept of a gamified smart home to help end-users to save energy without feeling compromised. Besides, previous research had been focused on reducing energy consumption through gamified elements [26][27][28][29][30][31]. A smart home uses socially connected products [32][33][34][35][36] to profile end-users based on their personality traits, types of gamified user, and energy users to propose tailored interfaces that help them to understand the benefits of saving energy.…”