AI 中文总结
本文利用真实远程桌面服务日志，分析发现QoS的平均RTT、时间波动及瞬时偏差均与用户活动显著相关，相关特征或可揭示用户行为的心理机制。
AI 中文摘要
随着远程工作需求的增长，尤其是新冠疫情时代以来，远程桌面服务（Remote Desktop Services, RDS）得到广泛应用。由于交互式RDS的使用高度依赖通信质量，已有部分研究探讨了RDS中服务质量（QoS）指标与用户活动的关系，但这些研究均在实验环境中开展，样本数量有限，可能无法反映真实世界的使用情况。因此，QoS的时间波动与用户活动之间的关系仍未得到充分探索。本文利用远程桌面服务（Thin-Telework System）的真实使用日志，研究QoS统计数据与用户活动之间的关系，分析每位用户的往返时间（Round-Trip Time, RTT）、发送数据包数量及接收字节数的时间序列数据。值得注意的是，研究发现不仅平均RTT，其时间波动（如时间序列的标准差）以及瞬时值与平均值的偏差，均与用户活动显著相关。从用户角度来看，这些特征分别对应QoS不可预测性和预测误差，或可为用户行为背后的心理机制提供见解。
英文摘要
With the increasing need for remote work, especially since the COVID-19 era, Remote Desktop Services (RDS) have become widely used. Because interactive RDS usage depends heavily on communication quality, some studies have investigated the relationship between QoS metrics and user activity in RDS. However, these works have een conducted in experimental environments, where the number of samples is limited and may not reflect real-world usage. Consequently, the relationship between temporal fluctuations in QoS and user activity remains underexplored. This paper investigates the relationship between QoS statistics and user activity using real-world usage logs of an RDS, Thin-Telework System. We analyze time-series data of round-trip time (RTT), the number of sent packets, and the number of received bytes per user. Notably, we find that not only the average RTT but also its temporal fluctuation (e.g., standard deviation over time) and its instantaneous deviation from the mean are significantly associated with user activity. From the users' perspective, these features correspond to QoS unpredictability and the prediction error, respectively, and may provide insights into psychological mechanisms underlying user behavior.
