Understanding occupancy and user behaviour through Wi-Fi-based indoor positioning
Understanding occupancy and user behaviour through Wi-Fi-based indoor positioning
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DOI：
10.1080/09613218.2018.1378498
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发表时间：
2018-10
影响因子：
3.9
通讯作者：
Yan Wang;Li Shao
中科院分区：
文献类型：
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作者：
Yan Wang;Li Shao
摘要在一所大学图书馆大楼进行了一项为期30天的监测活动，以调查一种基于Wi-Fi的新型室内定位系统在揭示室内使用模式和相关用户行为方面的有效性。在这项研究中，该系统证明了其在提供相对较高的粒度和准确性的入住率信息方面的有效性。入住率结果显示，目前图书馆在学期期间的24小时开放政策与使用率没有相关性。另一方面，暑假期间图书馆的8小时开放时间可以延长到包括傍晚早些时候，以提高用户的生产力。基于聚类分析，确定了四种入住率模式。研究发现，大多数用户属于短期占用一次性访问者类型，少数用户属于长期占用用户。研究了不同占用参数之间的相互关系。例如，用户到达图书馆的时间模式被发现与他们的学习持续时间显著相关。此外，数据分析显示，大多数长期占用用户往往不会经常休息，有些人会连续四个小时不休息。这可能会对他们的健康和福祉以及他们的生产力产生影响。
ABSTRACT A 30-day monitoring campaign was conducted in a university library building to investigate the usefulness of a novel Wi-Fi-based indoor location system for revealing indoor occupancy patterns and related user behaviour. The system has demonstrated its effectiveness in providing occupancy information with a relatively high degree of granularity and accuracy in this study. The occupancy results revealed that the current 24-hour opening policy for the library during term time did not correlate with usage. On the other hand, the eight-hour library-opening duration during the summer holiday period could be extended to include the early evening hours to benefit user productivity. Four occupancy patterns were identified based on cluster analysis. Most users were found to belong to the short-occupancy one-time visitor type, while a minority were long-occupancy users. The cross-correlations between various occupancy parameters were investigated. For example, the pattern of user arrival times at the library was found to be significantly correlated with their study durations. Further, data analysis showed that the majority of long-occupancy users tended not to have frequent breaks with some taking no break for four hours. This could have implications for their health and wellbeing as well as their productivity.