## 7 Conclusions  
So far, ARA technology has focused on the natural reproduction of the real environment. In contrast, this study has provided an approach that focuses on a dynamic ARA mix. The issue of equality between the real environment and the virtual component, and the role of loudness in the ARA mix, stress the need for the \"reintroduction\" of ARA technology through a new ARA mix procedure. In that direction, the \(BL\) prediction models have the potential to give a new perspective on the ARA mix procedure by facilitating dynamic control in situations where the user would have to continuously define the mix gains in real time, a process, which would be impossible without losing important sonic information.  
The quality of the ARA mix was investigated through the implementation of an adaptive ARA mix model, which was consequently evaluated in specific scenarios by benchmarks and subjects. The tests delivered encouraging results regarding the behavior of the model, as well as indications that the loudness in ARA technology plays a significant role in the perception of the ARA environment. It was also shown that an adaptive model can control the large amount of audio data, as well as the final mix. Furthermore, it was observed that the participants prefer the adaptive ARA mix to the alternative ones. Thus, it can be concluded that an adaptive ARA mix, which can predict the produced loudness, is potent to affect the participants positively. However, the implementation of such a system is not to be used as the only means to that end; many further parameters can be appropriately adjusted from the sound design process to optimize the system.  
In the future, the authors aim to connect the adaptive ARA mix model with a system of sound events classifications based on their importance and, thus, shift the \(BL\) priority from the virtual to the real component. In that context, a sophisticated ARA mix model with an integrated neural network could be implemented to adjust the \(BL\) mix intensity function automatically. It is the authors' conviction that this study can contribute as the basis for such a development.  
**Author Contributions:** Conceptualization, N.M. and A.F.; methodology, N.M.; software, N.M. and K.V.; validation, N.M. and A.F.; formal analysis, N.M.; investigation, N.M.; resources, N.M.; data curation, N.M.; writing--original draft preparation, N.M. and E.R.; writing--review and editing, E.R. and K.V.; visualization, N.M.; supervision, A.F.; project administration, A.F. All authors have read and agreed to the published version of the manuscript.  
**Institutional Review Board Statement:** The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of Ionian University (protocol code 4542 and date of approval is 13 December 2019)[PERSON]  
**Informed Consent Statement:** Informed consent was obtained from all subjects involved in the study[PERSON] Written informed consent has been obtained from the patients to publish this paper.  
**Conflicts of Interest:** The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  
**Abbreviations**  
The following abbreviations are used in this manuscript:  
[PERSON]begin{tabular}{l l} ARA & Augmented Reality Audio \\ _BL_ & Binauval Loudness \\ \end{tabular}  
**Appendix A. Subjective Evaluation Procedure GUI**