## 5 Conclusions  
This study developed a human-computer framework to assist the SR of NF, aiming to decrease the number of unsuccessful practitioners (non-responders/non-learners) of SR tasks. The assistance was done by priming the subject with mindfulness guided instructions right before the explicit NFT. This intervention was the first step to demonstrate that priming with external stimulation assists NF SR in serious games design and potentially turns NFT non-responders into responders. The main results showed that priming with mindfulness stimuli enables higher significance of EEG target self-regulation during the EO priming intervention blocks in a single session design. Additionally, from the self-reports and biomarkers, the most significant priming performers had low values of the awareness trait at pre-intervention, showed a higher _\"decentering\"_ (situational awareness) at the end of the first block (Bin), and reported signs of built-up tension and less _\"vigour\"_ at the end of the experiment protocol (Bout). As such, especially on subjects with a low capacity to act with awareness, the demand for focused attention on internal sensations through guidingaudio seems likely to implicitly support the subject's emotional regulation capacity. In turn, it should increase NFT task engagement and target situational awareness. Nonetheless, there are remaining questions to be solved that should be addressed in further experiments. In the future, we should be able to: experiment the priming effects in a multi-session design and check if they are only crucial for the first session of the NFT or if they support the subject throughout the multi-session; test different temporal designs to find the best design for this type of framework; find the \"optimal\" mechanisms that should be primed and validate stimuli able to prime them; test if MM audio-guided is the \"optimal\" stimuli at priming NF SR mechanisms or if other categories of stimuli or stimuli personalization have better efficacy in leading the subject into the \"optimal\" learning state; evaluate the hypothesis that non-responders/non-learners depend on the priming protocol personalization, i.e., that non-responders/non-learners can be turned into a responders/learners. In this way, we are trying to answer that brain activity self-regulation can be scaffolded by implicitly priming the \"optimal\" state at pre-NFT, limiting the number of non-optimal mechanisms, and potentiating optimal mechanisms that affect NF SR performance. Scaling up this priming assistance research, we envision a machine controller that uses neural networks to classify and select the required neurostimulation to arrive at the desired target--this way, outsourcing the difficulty of sensing the correct mental strategies. Moreover, the machine controller should assist the participant to gravitate/walk towards the desired mental state by implicit neurostimulation, which can affect explicit self-neuromodulation. In conclusion, we took the first steps towards a better NF operant. Showing that priming with mindfulness stimuli enables higher significance of EEG target self-regulation in a single session. In this way, we find appropriate further research of priming right before NFT for a more precise methodology in this field. Conceptualization, N.M.C.d.C. and N.S.D. ; Data curation, N.M.C.d.C., F.F. and E.V. ; Formal analysis, F.F. and E.V. ; Funding acquisition, N.S.D. ; Investigation, N.M.C.d.C. ; Methodology, N.M.C.d.C., E.B. and N.S.D. ; Project administration, E.B. and N.S.D. ; Resources, N.S.D. ; Software, N.M.C.d.C. ; Supervision, E.B. and N.S.D. ; Writing--original draft, N.M.C.d.C. ; Writing--review & editing, E.B., F.F., E.V. and N.S.D. All authors have read and agreed to the published version of the manuscript. This work is co-financed by the ERDF--European Regional Development Fund through the Operational Program for Competitiveness and Internationalisation--COMPETE 2020 (ref. : POCI-01-0145-FEDER-007043; ref.