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Figure 6. Abstraction of the PyFF architecture to address energy efficiency and user comfort in a smart workplace environment.

Figure 6 Abstraction of the PyFF architecture to address energy efficiency and user comfort in a smart workplace environment.

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Figure 1. The energy consumption data flow from the Ethernet-based Arduino microcontroller board to the remote server where the data were stored for later processing and analysis [26].
Figure 1. The energy consumption data flow from the Ethernet-based Arduino microcontroller board to the remote server where the data were stored for later processing and analysis [26].
It is worth mentioning that the last two configurations (i.e., Persuasive feedback and Automation) used an Auto Regressive Integrated Moving Average (ARIMA) model (running on an external server rather than on the coffee machine itself due to the reduced storage and computing capabilities of the Arduino board) to statistically forecast the number of users who would use the appliance every hour of the day [31]. The final architecture to run the experiment is shown in Figure 2. Figure 2. System architecture of the Coffee Machine use-case [26].
It is worth mentioning that the last two configurations (i.e., Persuasive feedback and Automation) used an Auto Regressive Integrated Moving Average (ARIMA) model (running on an external server rather than on the coffee machine itself due to the reduced storage and computing capabilities of the Arduino board) to statistically forecast the number of users who would use the appliance every hour of the day [31]. The final architecture to run the experiment is shown in Figure 2. Figure 2. System architecture of the Coffee Machine use-case [26].
Figure 3. GreenSoul Reference Architecture [28]. A three-layered scheme following the physical building deployment and Edge Com- puting approach (Figure 3) was designed for the GS architecture: (1) the Device Layer; (2) the Building Layer; and (3) the Front-End Layer.
Figure 3. GreenSoul Reference Architecture [28]. A three-layered scheme following the physical building deployment and Edge Com- puting approach (Figure 3) was designed for the GS architecture: (1) the Device Layer; (2) the Building Layer; and (3) the Front-End Layer.
The effectiveness of the overall GreenSoul system was tested by carrying out an intervention in six pilot buildings across Europe involving more than 350 people. Four different treatments combining three different persuasion principles through ICT were deployed (i.e., self-monitoring, cause-effect and conditioning). These treatments were delivered using different feedback channels: a custom-based interactive coaster that pro- vided visual information about energy consumption (self-monitoring); a gamified mobile app with some automation features (conditioning); a series of analog signage in the form of post-its and posters with “green messages” (cause-effect) ,;which can be considered as the control-treatment; and all three previous treatments together. Figure 4 illustrates each of them. Figure 4. The GreenSoul Persuasion Treatments with the associated technology to deliver them (post-its, mobile app, physical devices and all the treatments together) [28].
The effectiveness of the overall GreenSoul system was tested by carrying out an intervention in six pilot buildings across Europe involving more than 350 people. Four different treatments combining three different persuasion principles through ICT were deployed (i.e., self-monitoring, cause-effect and conditioning). These treatments were delivered using different feedback channels: a custom-based interactive coaster that pro- vided visual information about energy consumption (self-monitoring); a gamified mobile app with some automation features (conditioning); a series of analog signage in the form of post-its and posters with “green messages” (cause-effect) ,;which can be considered as the control-treatment; and all three previous treatments together. Figure 4 illustrates each of them. Figure 4. The GreenSoul Persuasion Treatments with the associated technology to deliver them (post-its, mobile app, physical devices and all the treatments together) [28].
Figure 7. Implementation of the PyFF architecture in a smart workplace.
Figure 7. Implementation of the PyFF architecture in a smart workplace.
Table 1. PyFF qualitative evaluation.
Table 1. PyFF qualitative evaluation.
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