An Ambient-Physical System to Infer Concentration in Open-plan Workplace

Publication Year: 2020 Publication Type : JournalArticle


OVer the past decade, there has been an upward trend for the adoption of open-plan offices [1], [2], [3] in the corporate sector. This trend shift is often associated with a drive to save space, reduce costs and accommodate growing teams. The shared workplace has been shown to bring greater worker satisfaction [4], [5], [6] and provide work flexibility [7], [8]. Occupants in a shared workplace have the potential to exchange knowledge more effectively [6], [9], [10] which can enrich their skills and potentially lead to greater productivity [4] while performing their work-related tasks. However, at the same time, studies have identified a number of problems [11], [12] associated with openplan offices including increased distrust, distractions, and uncooperative behavior. In this paper, our study focuses on the exploration of various factors that influences the worker concentration (i.e. ability to focus on the task at hand while ignoring distractions) in an open-plan workplace setting using pervasive sensing. Concentration has been modelled in a real-time manner. Outcomes of this study can help designers better plan modern workplace layouts and allow ongoing support during workplace occupation to provide personalized recommendations for workers using the space. Further, pervasive sensing for concentration inference can help identify the key drivers of perceived concentration levels among workers, ultimately leading to workplace designs that more carefully consider the commonly identified problems of open-plan offices.


@article{DBLP:journals/corr/abs-2005-13535, archiveprefix = {arXiv},
    author = {Mohammad Saiedur Rahaman and Jonathan Liono and Yongli Ren and Jeffrey Chan and Shaw Kudo and Tim Rawling and Flora D. Salim},
    bibsource = {dblp computer science bibliography,},
    biburl = {},
    eprint = {2005.13535},
    journal = {CoRR},
    timestamp = {Wed, 03 Jun 2020 01:00:00 +0200},
    title = {An Ambient-Physical System to Infer Concentration in Open-plan Workplace},
    url = {},
    volume = {abs/2005.13535},
    year = {2020}


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