## 5 Conclusions and Future Works  
In this paper, we proposed an interaction prediction method for reducing interaction latency in remote MR collaboration. The proposed method is a method to reduce interaction latency by predicting accruable interactions in remote MR collaborations. In this paper, we proposed the interaction prediction method using consecutive joint angles and conducted an experiment to examine the effectiveness of it. For the experiment, the subject wore a Microsoft Hololens2 [20] and performed interactions using grab and pinch gestures. During the experiment, interaction starting moments, interaction prediction moments, and interaction completion moments were measured, and through these, interaction latencies with and without the proposed method were compared. As a result of the experiment, we confirmed that the interaction latency in the 'With proposed method' case (1.3815 s) was further reduced, compared to the 'Without proposed method' case (1.5718 s), and through this, we examined that the proposed method is effective for reducing interaction latency. Therefore, we expect the proposed method for reducing interaction latency to improve user experience in remote MR collaborations by reducing the time required for transmitting human-VO interaction information. In addition, the proposed method could be applied to various remote MR collaboration applications, such as education, games, and industry, and it is expected to increase user satisfaction. The study results were obtained by applying k-NN, a simple classification algorithm, with a small dataset (300 data samples per gesture) based on representative gestures (grab and pinch). This study did not consider a penalty \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & \multicolumn{3}{c}{**[PERSON]–[PERSON] 1**} & \multicolumn{3}{c}{**[PERSON]–[PERSON]**} \\ \cline{2-7}  & **Statistic** & **df** & **Sig.** & **Statistic** & **df** & **Sig.** \\ \hline Disorientation (D) & 0.398 & 7 & 0.001 & 0.582 & 7 & 0.000 \\ Nausea (N) & 0.421 & 7 & 0.000 & 0.646 & 7 & 0.001 \\ Oculomotor discomfort (O) & 0.191 & 7 & 0.200 \(\ast\) & 0.955 & 7 & 0.772 \\ Total Score (TS) & 0.257 & 7 & 0.181 & 0.807 & 7 & 0.048 \\ \hline \hline \end{tabular}  
* This is a lower bound of the true significance. 1 Lilliefors Significance Correction.  
\end{table} 
Table 18: Results of normality test for SSQ scores for each subject: post-questionnaires. \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Nausea (N)** & **Oculomotor** & **Disorientation** & **Total Score (TS)** \\  & **Pre–Post** & **Discomfort (O)** & **(D)** & **Pre–Post** \\ \hline Z & \(-0.315\)1 & \(-0.944\)2 & \(-0.677\)1 & \(-1.633\)2 \\ Asymp. Sig. (2-tailed) & 0.752 & 0.345 & 0.498 & 0.102 \\ \hline \hline \end{tabular}  
* Based on positive ranks. 2 Based on negative ranks.  
\end{table} 
Table 19: Results of the [PERSON] signed rank test for SSQ scores for each subject. when predictions failed. Thus, future works may include an experiment that considers the time penalty in wrong prediction cases and feature extensions into applying advanced algorithms and a larger number of subjects. Conceptualization, Y.C. and Y.S.K. ; methodology, Y.C. and Y.S.K. ; software, Y.C. ; validation, Y.C. ; formal analysis, Y.C. ; investigation, Y.S.K. ; resources, W.S. ; data curation, Y.C. ; writing--original draft preparation, Y.C. and Y.S.K. ; writing--review and editing, W.S. and Y.S.K. ; visualization, Y.C. ; supervision, Y.S.K. ; project administration, Y.S.K. ; funding acquisition, Y.S.K. All authors have read and agreed to the published version of the manuscript. This research received no external funding. This work was supported by the Electronics and Telecommunications Research Institute(ETRI) grant, funded by the ICT R&D program of MSIT/IITP [No. 2020-0-00537, Development of 5G based low latency device--edge cloud interaction technology]. This work was partially supported by the National Research Foundation (NRF) of Korea Grant, funded by the Korean Government (MSIT) (NRF-2020R1 FIA1076114).