## 3 Re-Usable Re-Constructible Sensor Device
### Software
#### 3.3.1 Intelligent Calibration
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Question** & **Mean** & **SD** & **Median** & **SIQR** \\ \hline I would continue to use this sensor. & 4.25 & 0.5 & 4 & 0.13 \\ I would use products similar to this & 4.75 & 0.5 & 5 & 0 \\ in the future. & 4.5 & 0.58 & 4.5 & 0.25 \\ I would encourage others to use & 4.5 & 0.58 & 4.5 & 0.25 \\ products similar to this. & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Consumer intention questions. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Question** & **Mean** & **SD** & **Median** & **SIQR** \\ \hline I am more likely to keep a product I & 5 & 0 & 5 & 0 \\ made myself. & 4.75 & 0.5 & 5 & 0 \\ I am more likely to keep something & 4.75 & 0.5 & 5 & 0 \\ made locally. & 4.75 & 0.5 & 5 & 0 \\ I am more likely to keep something & 5 & 0 & 5 & 0 \\ made sustainably. & 4.75 & 0.5 & 5 & 0 \\ I am more likely to keep something I & 4.75 & 0.5 & 5 & 0 \\ I am more likely to keep something & 5 & 0 & 5 & 0 \\ that has replaceable components. & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Circular design attitude questions. for this classification. For any automatic process, the step length of 30, i.e., the length of time periods, may be changed to cover the actual patterns of movements. The results (see Figure 8) show that with RNN, it is possible to classify the current user as the same as before or as having changed. The accuracy after 25 epochs was 97.78%. The height of the users is shown in Table 8. Although there was some confusion, the RNN classification can identify the users uniquely. There was no need to label the data manually to identify the users. There is enough variation in the recorded data between the users to train the AI model to differentiate between them. This proves that the design of devices with cardboard is stable enough and the users can easily construct them and still generate data that can be used for reliable AI-based classification. However, we expect more inaccuracies when there are a large number of users, and the device is used for an extended period. But given the limited number of people in an office environment, the classification is expected to distinguish between people of different physical and behavioral characteristics. Improving this is not reliant on flat-pack design but on better AI algorithms and training. ## 5 Discussion

### Circular Design and Participant Performances

The findings of this study contribute to ongoing research on circular design and its impact on user experience, engagement, and product longevity. In this study, we examined how these principles influenced participant interactions with a non-wearable sensor device, focusing on usability, emotional engagement, and attitudes toward assembling the device. The circular design principles the participants were asked about were strategies employed in the device's design, and the participants widely agreed that the presence of these strategies would make them more likely to keep a product for an extended period. Several studies have supported how circular design strategies used in product design can have a direct impact on emotional connection, which in turn impacts how long a user keeps a product [10; 14; 27]. One participant mentioned that they liked being able to participate in

Figure 8: Confusion matrix with three users using LSTM and RNN. \begin{table}
\begin{tabular}{c c} \hline \hline
**User** & **Height (cm)** \\ \hline A & 191 \\ B & 183 \\ C & 180 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: User details. making the sensor and stated that if it had been installed without their involvement, they would have felt uncomfortable with the idea of \"some unknown device watching them\". Due to the hands-on assembly process, they felt a greater attachment to the product and were more willing to engage with it. Participants were able to complete the task of assembling the device, and as the survey results show, the majority performed this with relative ease.