## 7 Conclusions  
In the present paper, we discussed the interplay of conscious and unconscious mechanisms with reference to self-monitoring and emotion regulation skills. In particular, we focused on mindfulness \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Assessment Step**} & \multicolumn{2}{c}{**Active Control Group**} & \multicolumn{2}{c}{**Experimental Group**} & \multicolumn{2}{c}{**Between-Group**} \\  & **M (SD)** & **Change from Initial Values** & **M (SD)** & **Change from Initial Values** & **t-Value** & **_p-Value_** \\ \hline Intermediate measurement (2 weeks of practice) & \multirow{2}{*}{0.95 (0.31)} & \(-\)5\% & 0.93 (0.30) & \(-\)7\% & 0.18 & n.s. \\ \hline Final measurement (4 weeks of practice) & \multirow{2}{*}{0.95 (0.12)} & \(-\)5\% & 0.84 (0.15) & \(-\)16\% & 2.26 & 0.03 \\ \hline \hline \end{tabular}  
M = mean; SD = standard deviation; n.s. = not significant.  
\end{table} 
Table 2: Group means, standard deviations, change scores, and data on between-group statistical comparisons of the modulation of the PSS-10 scores for the active control and the experimental groups. PSS-10: Perceived Stress Scale. Figure 3: Modulation of perceived stress levels as measured by the Perceived Stress Scale (PSS-10) questionnaire (percentage changes weighted on individual baseline level of stress). Bars mirror mean changes of perceived stress for the Control (blue) and Experimental (red) groups, halfway through the interventions (t1) and at the end of the intervention (t2). Error-bars represent 1 SE. Figure 2: N2 event-related potential recorded during a challenging computerised task tapping into attention and executive control resources. EEG recording channel: Fz. Waveforms based on grand averages of the Control (blue line) and Experimental (red line) groups. practice as an example of an intervention that promotes self-awareness and enhances reflective attention towards automatic affective responses. Further, we discussed the potential of wearable sensors and body-sensing devices as supporting tools in meditation practice and as precious aids to promote awareness and control over unconscious bodily reactions. To close the loop, we think that access consciousness models and, in particular, [PERSON]'s theorisation of human consciousness as a continuous, gradual and dynamic phenomenon [37] provide a valuable framework in understanding how the relationship between unconscious, pre-conscious, and conscious mechanisms change during interventions tapping on awareness. Among the authors' premises, awareness of a particular psychophysical state is an important trigger for learning and making adaptive changes in brain connectivity. Thus, bringing previously unnoticed information to consciousness may be seen as a necessary, primary step for proper learning and self-empowerment. Indeed, it is not possible to control what has not been perceived and identified as distinct from something else. Consistently, brain-sensing--as well as body-sensing--devices may help such implicit information to become accessible to proper conscious processing and control by converting covert physiological markers of affective reactions into overt and easily-perceivable data. The informative real-time feedback on ongoing bodily activities may act as an additional accessible source of information on subjective internal states and might, thus, foster the development of more efficient emotion regulation skills and a more profound self-awareness. Further, it is worth noting that existing wearable devices can now gather this information and achieve these results non-invasively--due to the implementation of highly usable sensors, and simply due to recently-developed engaging and user-friendly software apps. The authors kindly thank InteraXon Inc. and Safilo Group S.p.A. for the provision of devices. [PERSON], [PERSON], [PERSON], and [PERSON] substantially contributed to the conception of the work and to drafting the work or revising it critically for important intellectual content.