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Publication - Dr Theo Tryfonas

    An Intelligent Hot-Desking Model Based on Occupancy Sensor Data and Its Potential for Social Impact

    Citation

    Maraslis, K, Cooper, P, Tryfonas, T & Oikonomou, G, 2016, ‘An Intelligent Hot-Desking Model Based on Occupancy Sensor Data and Its Potential for Social Impact’. in: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII: Special Issue on Big Data for Complex Urban Systems. Springer-Verlag Berlin, pp. 142-158

    Abstract

    In this paper we develop a model that utilises occupancy sensor data in a commercial Hot-Desking environment. Hot-Desking (or ‘office-hoteling’) is a method of office resource management that emerged in the nineties hoping to reduce the real estate costs of workplaces, by allowing offices to be used interchangeably among employees. We show that sensor data can be used to facilitate office resources management, in our case desk allocation in a Hot-Desking environment, with results that outweigh the costs of occupancy detection. We are able to optimise desk utilisation based on quality occupancy data and also demonstrate the effectiveness of the model by comparing it to a theoretically ideal, but impractical in real life, model. We then explain how a generalisation of the model that includes input from human sensors (e.g. social media) besides the presence sensing and pre-declared personal preferences, can be used, with potential impact on wider community scale.

    Full details in the University publications repository